The power of Data is undeniable. And unharnessed - it’s nothing but chaos. Making data your ally. Using it to lead with confidence and clarity. Host Jess Carter is solving problems in real-time to reveal what’s possible. Helping communities and people thrive. This is Data Driven Leadership, a show brought to you by Resultant.
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Player FM - Internet Radio Done Right
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محتوای ارائه شده توسط Lukas Biewald. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Lukas Biewald یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
مشابه Gradient Dissent: Conversations on AI
Africa-focused technology, digital and innovation ecosystem insight and commentary.
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Show notes are at https://stevelitchfield.com/sshow/chat.html
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The American healthcare system is one of the most innovative in the world. But it’s also riddled with complex challenges, such as access to affordable medications, inefficiency and administrative burdens, and communication barriers between providers. There’s clearly a better way—and at Surescripts, we have a unique sightline into what that may be. In this series, host Melanie Marcus, Chief Marketing Officer of Surescripts, sits down with today’s most inspiring and innovative leaders in healt ...
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Download This Show is your weekly guide to the world of media, culture, and technology. From social media to gadgets, streaming services to privacy issues. Each week Rae Johnston and guests take a fun, deep dive into how technology is reshaping our lives.
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Big tech is transforming every aspect of our world. But how, and at what cost? This season of Land of the Giants – The Disney Dilemma – focuses on Disney’s ability to weather the ups and downs of the business cycle and changing tastes and explores what has kept it successful for over 100 years. The entertainment giant has leveraged nostalgia and its intellectual property to build a beloved brand, but after an acquisition spree that included Marvel, Lucasfilm, and 20th Century Fox, can it sus ...
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A weekly talk show taking a pragmatic look at the art and business of Software Development and the world of technology.
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Embedded is the show for people who love gadgets. Making them, breaking them, and everything in between. Weekly interviews with engineers, educators, and enthusiasts. Find the show, blog, and more at embedded.fm.
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Flash Forward is a show about possible (and not so possible) future scenarios. What would the warranty on a sex robot look like? How would diplomacy work if we couldn’t lie? Could there ever be a fecal transplant black market? (Complicated, it wouldn’t, and yes, respectively, in case you’re curious.) Hosted and produced by award winning science journalist Rose Eveleth, each episode combines audio drama and journalism to go deep on potential tomorrows, and uncovers what those futures might re ...
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WSJ’s Bold Names brings you conversations with the leaders of the bold-named companies featured in the pages of The Wall Street Journal. Hosts Tim Higgins and Christopher Mims speak to CEOs and business leaders in interviews that challenge conventional wisdom and take you inside the decisions being made in the C-suite and beyond.
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No Limit Leadership
1 81: From Nothing to a Billion: The Leadership Playbook They Don’t Teach You w/ Harry L Allen 36:51
Traditional banks often lack personalized service, and local businesses struggle to find true partnership in financial institutions. Meanwhile, higher education faces scrutiny over relevance and ROI in a world where information is nearly free. Harry Allen helped launch Studio Bank to blend technology with high-touch service, fueled by community investment. At Belmont, he's applying the same entrepreneurial mindset to modernize university operations and embed practical learning experiences, like a one-of-a-kind partnership with Dolly Parton, into academia. In this episode, Harry L. Allen, co-founder of Studio Bank and now CFO at Belmont University, unpacks the bold vision behind launching a community-first bank in a city dominated by financial giants. He shares the leadership lessons that shaped his journey, how to lead through crisis, and why mentorship is the key to filling today's leadership vacuum. Key Takeaways Leveraging both financial and social capital creates a unique, community-first banking model. High-tech doesn't mean low-touch, Studio Bank fused innovation with personal relationships. Leadership means showing up, especially during crisis. Universities must shift from being information hubs to delivering real-world experience. Succession and mentorship are vital to cultivating the next generation of leaders. Chapters 00:00 Introduction to Harry L. Allen 01:49 The Birth of Studio Bank 04:29 Leveraging Technology in Community Banking 07:25 The Courage to Start a New Venture 10:37 Leadership Challenges in High Growth 13:02 Leading Through Crisis: The COVID Experience 17:55 Transitioning from Banking to Education 21:16 The Role of Leadership in Higher Education 25:16 Adapting to Challenges in Higher Education 30:04 The Leadership Vacuum in Society 33:17 Advice for Emerging Leaders 35:21 The American Dream and Community Impact No Limit Leadership is the go-to podcast for growth-minded executives, middle managers, and team leaders who want more than surface-level leadership advice. Hosted by executive coach and former Special Forces commander Sean Patton, this show dives deep into modern leadership, self-leadership, and the real-world strategies that build high-performing teams. Whether you're focused on leadership development, building a coaching culture, improving leadership communication, or strengthening team accountability, each episode equips you with actionable insights to unlock leadership potential across your organization. From designing onboarding systems that retain talent to asking better questions that drive clarity and impact, No Limit Leadership helps you lead yourself first so you can lead others better. If you're ready to create a culture of ownership, resilience, and results, this leadership podcast is for you.…
Transforming Search with Perplexity AI’s CTO Denis Yarats
Manage episode 424611527 series 3011550
محتوای ارائه شده توسط Lukas Biewald. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Lukas Biewald یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
In this episode of Gradient Dissent, Denis Yarats, CTO of Perplexity, joins host Lukas Biewald to discuss the innovative use of AI in creating high-quality, fast search engine answers.
Discover how Perplexity combines advancements in search engines and LLMs to deliver precise answers. Yarats shares insights on the technical challenges, the importance of speed, and the future of AI in search.
✅ *Subscribe to Weights & Biases* → https://bit.ly/45BCkYz
🎙 Get our podcasts on these platforms:
Apple Podcasts: http://wandb.me/apple-podcasts
Spotify: http://wandb.me/spotify
Google: http://wandb.me/gd_google
YouTube: http://wandb.me/youtube
Connect with Denis Yarats:
https://www.linkedin.com/in/denisyarats/
Follow Weights & Biases:
https://twitter.com/weights_biases
https://www.linkedin.com/company/wandb
Join the Weights & Biases Discord Server:
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125 قسمت
اشتراک گذاریManage episode 424611527 series 3011550
محتوای ارائه شده توسط Lukas Biewald. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Lukas Biewald یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
In this episode of Gradient Dissent, Denis Yarats, CTO of Perplexity, joins host Lukas Biewald to discuss the innovative use of AI in creating high-quality, fast search engine answers.
Discover how Perplexity combines advancements in search engines and LLMs to deliver precise answers. Yarats shares insights on the technical challenges, the importance of speed, and the future of AI in search.
✅ *Subscribe to Weights & Biases* → https://bit.ly/45BCkYz
🎙 Get our podcasts on these platforms:
Apple Podcasts: http://wandb.me/apple-podcasts
Spotify: http://wandb.me/spotify
Google: http://wandb.me/gd_google
YouTube: http://wandb.me/youtube
Connect with Denis Yarats:
https://www.linkedin.com/in/denisyarats/
Follow Weights & Biases:
https://twitter.com/weights_biases
https://www.linkedin.com/company/wandb
Join the Weights & Biases Discord Server:
https://discord.gg/CkZKRNnaf3
125 قسمت
همه قسمت ها
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1 GitHub CEO Thomas Dohmke on Copilot and the Future of Software Development 1:09:44
1:09:44 
پخش در آینده 
پخش در آینده 
لیست ها 
پسندیدن 
دوست داشته شد1:09:44
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدIn this episode of Gradient Dissent, Lukas Biewald sits down with Thomas Dohmke, CEO of GitHub, to talk about the future of software engineering in the age of AI. They discuss how GitHub Copilot was built, why agents are reshaping developer workflows, and what it takes to make tools that are not only powerful but also fun. Thomas shares his experience leading GitHub through its $7.5B acquisition by Microsoft, the unexpected ways it accelerated innovation, and why developer happiness is crucial to productivity. They explore what still makes human engineers irreplaceable and how the next generation of developers might grow up coding alongside AI. Follow Thomas Dohmke: https://www.linkedin.com/in/ashtom/ Follow Weights & Biases: https://twitter.com/weights_biases https://www.linkedin.com/company/wandb…
1 From Pharma to AGI Hype, and Developing AI in Finance: Martin Shkreli’s Journey 1:30:19
1:30:19 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:30:19
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدIn this episode of Gradient Dissent, Lukas Biewald talks with Martin Shkreli — the infamous "pharma bro" turned founder — about his path from hedge fund manager and pharma CEO to convicted felon and now software entrepreneur. Shkreli shares his side of the drug pricing controversy, reflects on his prison experience, and explains how he rebuilt his life and business after being "canceled." They dive deep into AI and drug discovery, where Shkreli delivers a strong critique of mainstream approaches. He also talks about his latest venture in finance software, building Godel Terminal “a Vim for traders", and why he thinks the AI hype cycle is just beginning. It's a wide-ranging and candid conversation with one of the most controversial figures in tech and biotech. Follow Martin Shkreli on Twitter Godel Terminal: https://godelterminal.com/ Follow Weights & Biases on Twitter https://www.linkedin.com/company/wandb Join the Weights & Biases Discord Server: https://discord.gg/CkZKRNnaf3…
In this episode of Gradient Dissent, host Lukas Biewald talks with Sualeh Asif, the CPO and co-founder of Cursor, one of the fastest-growing and most loved AI-powered coding platforms. Sualeh shares the story behind Cursor’s creation, the technical and design decisions that set it apart, and how AI models are changing the way we build software. They dive deep into infrastructure challenges, the importance of speed and user experience, and how emerging trends in agents and reasoning models are reshaping the developer workflow. Sualeh also discusses scaling AI inference to support hundreds of millions of requests per day, building trust through product quality, and his vision for how programming will evolve in the next few years. ⏳Timestamps: 00:00 How Cursor got started and why it took off 04:50 Switching from Vim to VS Code and the rise of CoPilot 08:10 Why Cursor won among competitors: product philosophy and execution 10:30 How user data and feedback loops drive Cursor’s improvements 12:20 Iterating on AI agents: what made Cursor hold back and wait 13:30 Competitive coding background: advantage or challenge? 16:30 Making coding fun again: latency, flow, and model choices 19:10 Building Cursor’s infrastructure: from GPUs to indexing billions of files 26:00 How Cursor prioritizes compute allocation for indexing 30:00 Running massive ML infrastructure: surprises and scaling lessons 34:50 Why Cursor chose DeepSeek models early 36:00 Where AI agents are heading next 40:07 Debugging and evaluating complex AI agents 42:00 How coding workflows will change over the next 2–3 years 46:20 Dream future projects: AI for reading codebases and papers 🎙 Get our podcasts on these platforms: Apple Podcasts: https://wandb.me/apple-podcasts Spotify: https://wandb.me/spotify YouTube: https://wandb.me/youtube Follow Weights & Biases: https://x.com/weights_biases https://www.linkedin.com/company/wandb…
In this episode of Gradient Dissent, host Lukas Biewald talks with Christopher Ahlberg, CEO of Recorded Future, a pioneering cybersecurity company leveraging AI to provide intelligence insights. Christopher shares his fascinating journey from founding data visualization startup Spotfire to building Recorded Future into an industry leader, eventually leading to its acquisition by Mastercard. They dive into gripping stories of cyber espionage, including how Recorded Future intercepted a hacker selling access to the U.S. Electoral Assistance Commission. Christopher also explains why the criminal underworld has shifted to platforms like Telegram, how AI is transforming both cyber threats and defenses, and the real-world implications of becoming an "undesirable enemy" of the Russian state. This episode offers unique insights into cybersecurity, AI-driven intelligence, entrepreneurship lessons from a two-time founder, and what happens when geopolitical tensions intersect with cutting-edge technology. A must-listen for anyone interested in cybersecurity, artificial intelligence, or the complex dynamics shaping global security. 🎙 Get our podcasts on these platforms: Apple Podcasts: https://wandb.me/apple-podcast s Spotify: https://wandb.me/spotify YouTube: https://wandb.me/youtube Follow Weights & Biases: https://twitter.com/weights_biases https://www.linkedin.com/company/wandb…
1 AI, autonomy, and the future of naval warfare with Captain Jon Haase, United States Navy 1:01:32
1:01:32 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:01:32
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدIn this episode of Gradient Dissent, host Lukas Biewald speaks with Captain Jon Haase, United States Navy about real-world applications of AI and autonomy in defense. From underwater mine detection with autonomous vehicles to the ethics of lethal AI systems, this conversation dives into how the U.S. military is integrating AI into mission-critical operations — and why humans will always be at the center of warfighting. They explore the challenges of underwater autonomy, multi-agent collaboration, cybersecurity, and the growing role of large language models like Gemini and Claude in the defense space. Essential listening for anyone curious about military AI, defense tech, and the future of autonomous systems. ✅ *Subscribe to Weights & Biases* → https://bit.ly/45BCkYz 🎙 Get our podcasts on these platforms: Apple Podcasts: http://wandb.me/apple-podcasts Spotify: http://wandb.me/spotify Google: http://wandb.me/gd_google YouTube: http://wandb.me/youtube Follow Weights & Biases: https://twitter.com/weights_biases https://www.linkedin.com/company/wandb Join the Weights & Biases Discord Server: https://discord.gg/CkZKRNnaf3…
In this episode of Gradient Dissent, host Lukas Biewald sits down with João Moura, CEO & Founder of CrewAI, one of the leading platforms enabling AI agents for enterprise applications. Joe shares insights into how AI agents are being successfully deployed in over 40% of Fortune 500 companies, what tools these agents rely on, and how software companies are adapting to an agentic world. They also discuss: What defines a true AI agent versus simple automation How AI agents are transforming business processes in industries like finance, insurance, and software The evolving business models for APIs as AI agents become the dominant software users What the next breakthroughs in agentic AI might look like in 2025 and beyond If you're curious about the cutting edge of AI automation, enterprise AI adoption, and the real impact of multi-agent systems, this episode is packed with essential insights.…
1 R1, OpenAI’s o3, and the ARC-AGI Benchmark: Insights from Mike Knoop 1:12:01
1:12:01 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:12:01
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدIn this episode of Gradient Dissent , host Lukas Biewald sits down with Mike Knoop , Co-founder and CEO of Ndea , a cutting-edge AI research lab. Mike shares his journey from building Zapier into a major automation platform to diving into the frontiers of AI research. They discuss DeepSeek’s R1, OpenAI’s O-series models, and the ARC Prize , a competition aimed at advancing AI’s reasoning capabilities. Mike explains how program synthesis and deep learning must merge to create true AGI , and why he believes AI reliability is the biggest hurdle for automation adoption. This conversation covers AGI timelines, research breakthroughs, and the future of intelligent systems , making it essential listening for AI enthusiasts, researchers, and entrepreneurs. Mentioned Show Notes: https://ndea.com https://arcprize.org/blog/r1-zero-r1-results-analysis https://arcprize.org/blog/oai-o3-pub-breakthrough 🎙 Get our podcasts on these platforms: Apple Podcasts: http://wandb.me/apple-podcasts Spotify: http://wandb.me/spotify Google: http://wandb.me/gd_google YouTube: http://wandb.me/youtube Connect with Mike Knoop" @mikeknoop Follow Weights & Biases: https://twitter.com/weights_biases https://www.linkedin.com/company/wandb Join the Weights & Biases Discord Server: https://discord.gg/CkZKRNnaf3…
In this episode of Gradient Dissent , host Lukas Biewald sits down with David Cahn, partner at Sequoia Capital, for a compelling discussion on the dynamic world of AI investments. They dive into recent developments, including DeepSeek and Stargate, exploring their implications for the AI industry. Drawing from his articles, "AI's $200 Billion Question" and "AI's $600 Billion Question," David unpacks the financial challenges and opportunities surrounding AI infrastructure spending and the staggering revenue required to sustain these investments. Together, they examine the competitive strategies of cloud providers, the transformative impact of AI on business models, and predictions for the next wave of AI-driven growth. This episode offers an in-depth look at the crossroads of AI innovation and financial strategy. Mentioned Articles: AI’s $200B Question AI’s $600B Question 🎙 Get our podcasts on these platforms: Apple Podcasts: http://wandb.me/apple-podcasts Spotify: http://wandb.me/spotify Google: http://wandb.me/gd_google YouTube: http://wandb.me/youtube Connect with David Cahn: @DavidCahn6 Follow Weights & Biases: https://twitter.com/weights_biases https://www.linkedin.com/company/wandb Join the Weights & Biases Discord Server: https://discord.gg/CkZKRNnaf3…
In this episode of Gradient Dissent , Akshay Agrawal, Co-Founder of Marimo, joins host Lukas Biewald to discuss the future of collaborative AI development. They dive into how Marimo is enabling developers and researchers to collaborate seamlessly on AI projects, the challenges of scaling AI tools, and the importance of fostering open ecosystems for innovation. Akshay shares insights into building a platform that empowers teams to iterate faster and solve complex AI challenges together. Follow Weights & Biases: https://twitter.com/weights_biases https://www.linkedin.com/company/wandb Join the Weights & Biases Discord Server: https://discord.gg/CkZKRNnaf3…
In this episode of Gradient Dissent, Joseph E. Gonzalez, EECS Professor at UC Berkeley and Co-Founder at RunLLM, joins host Lukas Biewald to explore innovative approaches to evaluating LLMs. They discuss the concept of vibes-based evaluation, which examines not just accuracy but also the style and tone of model responses, and how Chatbot Arena has become a community-driven benchmark for open-source and commercial LLMs. Joseph shares insights on democratizing model evaluation, refining AI-human interactions, and leveraging human preferences to improve model performance. This episode provides a deep dive into the evolving landscape of LLM evaluation and its impact on AI development. 🎙 Get our podcasts on these platforms: Apple Podcasts: http://wandb.me/apple-podcasts Spotify: http://wandb.me/spotify Google: http://wandb.me/gd_google YouTube: http://wandb.me/youtube Follow Weights & Biases: https://twitter.com/weights_biases https://www.linkedin.com/company/wandb Join the Weights & Biases Discord Server: https://discord.gg/CkZKRNnaf3…
In this episode of Gradient Dissent, Julian Green, Co-founder & CEO of Brightband, joins host Lukas Biewald to discuss how AI is transforming weather forecasting and climate solutions. They explore Brightband's innovative approach to using AI for extreme weather prediction, the shift from physics-based models to AI-driven forecasting, and the potential for democratizing weather data. Julian shares insights into building trust in AI for critical decisions, navigating the challenges of deep tech entrepreneurship, and the broader implications of AI in mitigating climate risks. This episode delves into the intersection of AI and Earth systems, highlighting its transformative impact on weather and climate decision-making. 🎙 Get our podcasts on these platforms: Apple Podcasts: http://wandb.me/apple-podcasts Spotify: http://wandb.me/spotify Google: http://wandb.me/gd_google YouTube: http://wandb.me/youtube Connect with Julian Green: @juliangreensf Follow Weights & Biases: https://twitter.com/weights_biases https://www.linkedin.com/company/wandb Join the Weights & Biases Discord Server: https://discord.gg/CkZKRNnaf3…
In this episode of Gradient Dissent, Jonathan Siddharth, CEO & Co-Founder of Turing, joins host Lukas Biewald to discuss the path to AGI. They explore how Turing built a "developer cloud" of 3.7 million engineers to power AGI training, providing high-quality code and reasoning data to leading AI labs. Jonathan shares insights on Turing’s journey, from building coding datasets to solving enterprise AI challenges and enabling human-in-the-loop solutions. This episode offers a unique perspective on the intersection of human intelligence and AGI, with an eye on the expansion of new domains beyond coding. ✅ *Subscribe to Weights & Biases* → https://bit.ly/45BCkYz 🎙 Get our podcasts on these platforms: Apple Podcasts: http://wandb.me/apple-podcasts Spotify: http://wandb.me/spotify Google: http://wandb.me/gd_google YouTube: http://wandb.me/youtube Connect with Jonathan Siddharth: https://www.linkedin.com/in/jonsid/ Follow Weights & Biases: https://twitter.com/weights_biases https://www.linkedin.com/company/wandb Join the Weights & Biases Discord Server: https://discord.gg/CkZKRNnaf3…
1 Vercel’s CEO & Founder Guillermo Rauch on the impact of AI on Web Development and Front End Engineering 56:57
In this episode of Gradient Dissent, Guillermo Rauch, CEO & Founder of Vercel, joins host Lukas Biewald for a wide ranging discussion on how AI is changing web development and front end engineering. They discuss how Vercel’s v0 expert AI agent is generating code and UI based on simple ChatGPT-like prompts, the importance of releasing daily for AI applications, and the changing landscape of frontier model performance between open and closed models. Listen on Apple Podcasts: http://wandb.me/apple-podcasts Listen on Spotify: http://wandb.me/spotify Subscribe to Weights & Biases: https://bit.ly/45BCkYz Get our podcasts on these platforms: Apple Podcasts: http://wandb.me/apple-podcasts Spotify: http://wandb.me/spotify Google: http://wandb.me/gd_google YouTube: http://wandb.me/youtube Connect with Guillermo Rauch: https://www.linkedin.com/in/rauchg/ https://x.com/rauchg Follow Weights & Biases: https://twitter.com/weights_biases https://www.linkedin.com/company/wandb Join the Weights & Biases Discord Server: https://discord.gg/CkZKRNnaf3…
In this episode of Gradient Dissent, Snowflake CEO Sridhar Ramaswamy joins host Lukas Biewald to explore how AI is transforming enterprise data strategies. They discuss Sridhar's journey from Google to Snowflake, diving into the evolving role of foundation models, Snowflake’s AI strategy, and the challenges of scaling AI in business. Sridhar also shares his thoughts on leadership, rapid iteration, and creating meaningful AI solutions for enterprise clients. Tune in to discover how Snowflake is driving innovation in the AI and data space. Connect with Sridhar Ramaswamy: https://www.linkedin.com/in/sridhar-ramaswamy/ Follow Weights & Biases: https://twitter.com/weights_biases https://www.linkedin.com/company/wandb Join the Weights & Biases Discord Server: https://discord.gg/CkZKRNnaf3…
In this episode of Gradient Dissent, Erik Bernhardsson, CEO & Founder of Modal Labs, joins host Lukas Biewald to discuss the future of machine learning infrastructure. They explore how Modal is enhancing the developer experience, handling large-scale GPU workloads, and simplifying cloud execution for data teams. If you’re into AI, data pipelines, or building robust ML systems, this episode is packed with valuable insights! 🎙 *Listen on Apple Podcasts*: http://wandb.me/apple-podcasts 🎙 *Listen on Spotify*: http://wandb.me/spotify ✅ *Subscribe to Weights & Biases* → https://bit.ly/45BCkYz 🎙 Get our podcasts on these platforms: Apple Podcasts: http://wandb.me/apple-podcasts Spotify: http://wandb.me/spotify Google: http://wandb.me/gd_google YouTube: http://wandb.me/youtube Connect with Erik Bernhardsson: https://www.linkedin.com/in/erikbern/ https://x.com/bernhardsson Follow Weights & Biases: https://twitter.com/weights_biases https://www.linkedin.com/company/wandb Join the Weights & Biases Discord Server: https://discord.gg/CkZKRNnaf3…
G
Gradient Dissent: Conversations on AI
1 From No-Code to AI-Powered Apps with Airtable’s Howie Liu 1:12:57
1:12:57 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:12:57
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدIn this episode of Gradient Dissent, Howie Lou, CEO of Airtable, joins host Lukas Biewald to dive into Airtable's transformation from a no-code app builder to a platform capable of supporting complex AI-driven workflows. They discuss the strategic decisions that propelled Airtable's growth, the challenges of scaling AI in enterprise settings, and the future of AI in business operations. Discover how Airtable is reshaping digital transformation and why flexibility and innovation are key in today's tech landscape. Tune in now to learn about the evolving role of AI in business and product development. 🎙 *Listen on Apple Podcasts*: http://wandb.me/apple-podcasts 🎙 *Listen on Spotify*: http://wandb.me/spotify ✅ *Subscribe to Weights & Biases* → https://bit.ly/45BCkYz 🎙 Get our podcasts on these platforms: Apple Podcasts: http://wandb.me/apple-podcasts Spotify: http://wandb.me/spotify Google: http://wandb.me/gd_google YouTube: http://wandb.me/youtube Connect with Howie Liu: https://www.linkedin.com/in/howieliu/ https://x.com/howietl Follow Weights & Biases: https://twitter.com/weights_biases https://www.linkedin.com/company/wandb Join the Weights & Biases Discord Server: https://discord.gg/CkZKRNnaf3…
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Gradient Dissent: Conversations on AI
In this episode of Gradient Dissent, Andrew Feldman, CEO of Cerebras Systems, joins host Lukas Biewald to discuss the latest advancements in AI inference technology. They explore Cerebras Systems' groundbreaking new AI inference product, examining how their wafer-scale chips are setting new benchmarks in speed, accuracy, and cost efficiency. Andrew shares insights on the architectural innovations that make this possible and discusses the broader implications for AI workloads in production. This episode provides a comprehensive look at the cutting-edge of AI hardware and its impact on the future of machine learning. ✅ *Subscribe to Weights & Biases* → https://bit.ly/45BCkYz 🎙 Get our podcasts on these platforms: Apple Podcasts: http://wandb.me/apple-podcasts Spotify: http://wandb.me/spotify Google: http://wandb.me/gd_google YouTube: http://wandb.me/youtube Connect with Andrew Feldman: https://www.linkedin.com/in/andrewdfeldman/ Follow Weights & Biases: https://twitter.com/weights_biases https://www.linkedin.com/company/wandb Join the Weights & Biases Discord Server: https://discord.gg/CkZKRNnaf3 Paper Andrew referenced Paul David- Economic historian https://www.jstor.org/stable/2006600…
In this episode of Gradient Dissent, Kanjun Qiu, CEO and Co-founder of Imbue, joins host Lukas Biewald to discuss how AI agents are transforming code generation and software development. Discover the potential impact and challenges of creating autonomous AI systems that can write and verify code and and learn about the practical research involved. ✅ *Subscribe to Weights & Biases* → https://bit.ly/45BCkYz Connect with Kanjun Qiu: https://www.linkedin.com/in/kanjun/ https://x.com/kanjun General Intelligent Podcast: https://imbue.com/podcast/ Follow Weights & Biases: https://twitter.com/weights_biases https://www.linkedin.com/company/wandb Join the Weights & Biases Discord Server: https://discord.gg/CkZKRNnaf3…
In this episode of Gradient Dissent, Stephen Balaban, CEO of Lambda Labs, joins host Lukas Biewald to discuss the journey of scaling Lambda Labs to an impressive $400M in revenue. They explore the pivotal moments that shaped the company, the future of GPU technology, and the impact of AI data centers on the energy grid. Discover the challenges and triumphs of running a successful hardware and cloud business in the AI industry. Tune in now to explore the evolving landscape of AI hardware and cloud services. ✅ *Subscribe to Weights & Biases* → https://bit.ly/45BCkYz Connect with Stephen Balaban: https://www.linkedin.com/in/sbalaban/ https://x.com/stephenbalaban Follow Weights & Biases: https://twitter.com/weights_biases https://www.linkedin.com/company/wandb…
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Gradient Dissent: Conversations on AI
1 Harnessing AI for legal practice with CoCounsel’s Jake Heller 1:04:16
1:04:16 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:04:16
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدIn this episode of Gradient Dissent, Jake Heller, Head of Product, CoCounsel, joins host Lukas Biewald to discuss how AI is innovating legal practices and reshaping educational approaches for aspiring lawyers. From automating document review to enhancing legal research capabilities, explore the potential impact and challenges AI presents in the legal field. Whether you're a legal professional, a student, or simply curious about the future of law and technology, this conversation provides valuable insights and perspectives. Tune in now to explore the evolving landscape of AI in legal education. ✅ *Subscribe to Weights & Biases* → https://bit.ly/45BCkYz 🎙 Get our podcasts on these platforms: Apple Podcasts: http://wandb.me/apple-podcasts Spotify: http://wandb.me/spotify Google: http://wandb.me/gd_google YouTube: http://wandb.me/youtube Connect with Jake Heller: https://www.linkedin.com/in/jakeheller Follow Weights & Biases: https://twitter.com/weights_biases https://www.linkedin.com/company/wandb Join the Weights & Biases Discord Server: https://discord.gg/CkZKRNnaf3…
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Gradient Dissent: Conversations on AI
In this episode of Gradient Dissent, Denis Yarats, CTO of Perplexity, joins host Lukas Biewald to discuss the innovative use of AI in creating high-quality, fast search engine answers. Discover how Perplexity combines advancements in search engines and LLMs to deliver precise answers. Yarats shares insights on the technical challenges, the importance of speed, and the future of AI in search. ✅ *Subscribe to Weights & Biases* → https://bit.ly/45BCkYz 🎙 Get our podcasts on these platforms: Apple Podcasts: http://wandb.me/apple-podcasts Spotify: http://wandb.me/spotify Google: http://wandb.me/gd_google YouTube: http://wandb.me/youtube Connect with Denis Yarats: https://www.linkedin.com/in/denisyarats/ https://x.com/denisyarats Follow Weights & Biases: https://twitter.com/weights_biases https://www.linkedin.com/company/wandb Join the Weights & Biases Discord Server: https://discord.gg/CkZKRNnaf3…
In this episode of Gradient Dissent, Sergiy Nesterenko, CEO of Quilter, joins host Lukas Biewald to discuss the groundbreaking use of reinforcement learning in PCB design. Learn how Quilter automates the complex, manual process of creating PCBs, making it faster and more efficient. Nesterenko shares insights on the challenges and successes of integrating AI with real-world applications and discusses the future of electronic design. ✅ *Subscribe to Weights & Biases* → https://bit.ly/45BCkYz Connect with Sergiy Nesterenko: https://www.linkedin.com/in/sergiynesterenko/ Follow Weights & Biases: https://twitter.com/weights_biases https://www.linkedin.com/company/wandb Join the Weights & Biases Discord Server: https://discord.gg/CkZKRNnaf3…
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Gradient Dissent: Conversations on AI
In this episode of Gradient Dissent, Varun Mohan, Co-Founder & CEO of Codeium, joins host Lukas Biewald to discuss the transformative power of AI in coding. They explore how Codeium evolved from GPU virtualization to a widely used AI coding tool and tackled the technical challenges and future prospects of AI-assisted software development. Varun shares insights on overcoming performance and latency issues and how AI can significantly enhance engineering velocity. This episode offers an in-depth look at the intersection of AI and coding, highlighting both technological advancements and the potential for more efficient development processes. ✅ *Subscribe to Weights & Biases* → https://bit.ly/45BCkYz Connect with Varun Mohan: https://www.linkedin.com/in/varunkmohan/ https://x.com/_mohansolo Follow Weights & Biases: https://twitter.com/weights_biases https://www.linkedin.com/company/wandb Join the Weights & Biases Discord Server: https://discord.gg/CkZKRNnaf3…
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Gradient Dissent: Conversations on AI
In this episode of Gradient Dissent, Together AI co-founder and Stanford Associate Professor Percy Liang joins host, Lukas Biewald, to discuss advancements in AI benchmarking and the pivotal role that open-source plays in AI development. He shares his development of HELM—a robust framework for evaluating language models. The discussion highlights how this framework improves transparency and effectiveness in AI benchmarks. Additionally, Percy shares insights on the pivotal role of open-source models in democratizing AI development and addresses the challenges of English language bias in global AI applications. This episode offers in-depth insights into how benchmarks are shaping the future of AI, highlighting both technological advancements and the push for more equitable and inclusive technologies. ✅ Subscribe to Weights & Biases → http://wandb.me/yt_subscribe Connect with Percy Liang: https://www.linkedin.com/in/percy-liang-717b8a/ https://twitter.com/percyliang Anticipatory Music Composer: https://stanford.io/3y5VycN Blog Post: https://crfm.stanford.edu/2024/02/18/helm-instruct.html Follow Weights & Biases: https://twitter.com/weights_biases https://www.linkedin.com/company/wandb…
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Gradient Dissent: Conversations on AI
1 Accelerating drug discovery with AI: Insights from Isomorphic Labs 1:10:23
1:10:23 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:10:23
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدIn this episode of Gradient Dissent, Isomorphic Labs Chief AI Officer Max Jaderberg, and Chief Technology Officer Sergei Yakneen join our host Lukas Biewald to discuss the advancements in biotech and drug discovery being unlocked with machine learning. With backgrounds in advanced AI research at DeepMind, Max and Sergei offer their unique insights into the challenges and successes of applying AI in a complex field like biotechnology. They share their journey at Isomorphic Labs, a company dedicated to revolutionizing drug discovery with AI. In this episode, they discuss the transformative impact of deep learning on the drug development process and Isomorphic Labs' strategy to innovate from molecular design to clinical trials. You’ll come away with valuable insights into the challenges of applying AI in biotech, the role of AI in streamlining the drug discovery pipeline, and peer into the future of AI-driven solutions in healthcare. Connect with Sergei Yakneen & Max Jaderberg: https://www.linkedin.com/in/maxjaderberg/ https://www.linkedin.com/in/yakneensergei/ https://twitter.com/SergeiIakhnin https://twitter.com/maxjaderberg Follow Weights & Biases: https://twitter.com/weights_biases https://www.linkedin.com/company/wandb…
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Gradient Dissent: Conversations on AI
🚀 Discover the cutting-edge AI hardware development for enterprises in this episode of Gradient Dissent, featuring Rodrigo Liang, CEO of SambaNova Systems. Rodrigo Liang’s journey from Oracle to founding SambaNova is a tale of innovation and determination. In this episode, Rodrigo discusses the importance of specialized hardware in unlocking AI's potential for Enterprise businesses and SambaNova's mission to deliver comprehensive AI solutions from chips to models. Explore the critical insights on navigating the challenges of introducing AI to executives and the evolution of AI applications within large enterprises, and get a glimpse into the future of AI in the business world. 🎙 Get our podcasts on these platforms: Apple Podcasts: http://wandb.me/apple-podcasts Spotify: http://wandb.me/spotify Google: http://wandb.me/gd_google YouTube: http://wandb.me/youtube Connect with Rodrigo Liang: https://www.linkedin.com/in/rodrigo-liang/ https://twitter.com/RodrigoLiang Follow Weights & Biases: https://twitter.com/weights_biases https://www.linkedin.com/company/wandb Join the Weights & Biases Discord Server: https://discord.gg/CkZKRNnaf3…
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Gradient Dissent: Conversations on AI
1 Navigating the Vector Database Landscape with Pinecone's Edo Liberty 1:06:05
1:06:05 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:06:05
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد🚀 This episode of Gradient Dissent welcomes Edo Liberty , the mind behind Pinecone's revolutionary vector database technolog y. As a former leader at Amazon AI Labs and Yahoo's New York lab, Edo Liberty's extensive background in AI research and development showcases the complexities behind vector databases and their essential role in enhancing AI's capabilities. Discover the pivotal moments and key decisions that have defined Pinecone's journey, learn about the different embedding strategies that are reshaping AI applications, and understand how Pinecone's success has had a profound impact on the technology landscape. Connect with Edo Liberty: https://www.linkedin.com/in/edo-liberty-4380164/ https://twitter.com/EdoLiberty Follow Weights & Biases: https://twitter.com/weights_biases https://www.linkedin.com/company/wandb Join the Weights & Biases Discord Server: https://discord.gg/CkZKRNnaf3…
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Gradient Dissent: Conversations on AI
🚀 In this episode of Gradient Dissent, we explore the revolutionary impact of AI across industries with Clara Shih, CEO of Salesforce AI and Founder of Hearsay Systems. Dive into Salesforce AI's cutting-edge approach to customer service through AI, the importance of a trust-first strategy, and the future of AI policies and education. Learn how Salesforce empowers businesses and shapes the future with AI innovations like Prompt Builder and Copilot Studio. Whether you're an AI enthusiast, a business leader, or someone curious about the future of technology, this discussion offers valuable insights into navigating the rapidly evolving world of AI. ✅ Subscribe to Weights & Biases YouTube → https://bit.ly/45BCkYz 🎙 Get our podcasts on these platforms: Apple Podcasts: http://wandb.me/apple-podcasts Spotify: http://wandb.me/spotify Google: http://wandb.me/gd_google Connect with Clara: https://www.linkedin.com/in/clarashih/ https://x.com/clarashih?s=20 Follow Weights & Biases: https://twitter.com/weights_biases https://www.linkedin.com/company/wandb…
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Gradient Dissent: Conversations on AI
1 Upgrading Your Health: Navigating AI's Future In Healthcare with John Halamka of Mayo Clinic Platform 1:04:24
1:04:24 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:04:24
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدIn the newest episode of Gradient Dissent, we explore the intersecting worlds of AI and Healthcare with John Halamka, President of the Mayo Clinic Platform. Journey with us down John Halamka's remarkable path from his early tech startup days to leading innovations as the President of the Mayo Clinic Platform, one of the world's most esteemed healthcare institutions. This deep dive into AI's role in modern medicine covers the technology's evolution, its potential to redefine patient care, and the visionary work of Mayo Clinic Platform in harnessing AI responsibly. Explore the misconceptions surrounding AI in healthcare and discover the ethical and regulatory frameworks guiding its application. Glimpse into the future with Halamka's visionary perspective on AI's potential to democratize and revolutionize healthcare across the globe. Join us for an enlightening discussion on the challenges, triumphs, and the horizon of AI in healthcare through the lens of John Halamka's pioneering experiences. 🎙 Get our podcasts on these platforms: Apple Podcasts: http://wandb.me/apple-podcasts Spotify: http://wandb.me/spotify Google: http://wandb.me/gd_google YouTube: http://wandb.me/youtube ✅ Follow Weights & Biases: https://twitter.com/weights_biases https://www.linkedin.com/company/wandb…
In the newest episode of Gradient Dissent, Chelsea Finn, Assistant Professor at Stanford's Computer Science Department, discusses the forefront of robotics and machine learning. Discover her groundbreaking work, where two-armed robots learn to cook shrimp (messes included!), and discuss how robotic learning could transform student feedback in education. We'll dive into the challenges of developing humanoid and quadruped robots, explore the limitations of simulated environments and discuss why real-world experience is key for adaptable machines. Plus, Chelsea will offer a glimpse into the future of household robotics and why it may be a few years before a robot is making your bed. Whether you're an AI enthusiast, a robotics professional, or simply curious about the potential and future of the technology, this episode offers unique insights into the evolving world of robotics and where it's headed next. *Subscribe to Weights & Biases* → https://bit.ly/45BCkYz 🎙 Get our podcasts on these platforms: Apple Podcasts: http://wandb.me/apple-podcasts Spotify: http://wandb.me/spotify Google: http://wandb.me/gd_google YouTube: http://wandb.me/youtube Connect with Chelsea Finn: https://www.linkedin.com/in/cbfinn/ https://twitter.com/chelseabfinn Follow Weights & Biases: https://twitter.com/weights_biases https://www.linkedin.com/company/wandb Join the Weights & Biases Discord Server: https://discord.gg/CkZKRNnaf3…
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Gradient Dissent: Conversations on AI
1 The Power of AI in Search with You.com's Richard Socher 1:08:26
1:08:26 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:08:26
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدIn the latest episode of Gradient Dissent, Richard Socher, CEO of You.com, shares his insights on the power of AI in search. The episode focuses on how advanced language models like GPT-4 are transforming search engines and changing the way we interact with digital platforms. The discussion covers the practical applications and challenges of integrating AI into search functionality, as well as the ethical considerations and future implications of AI in our digital lives. Join us for an enlightening conversation on how AI and you.com are reshaping how we access and interact with information online. *Subscribe to Weights & Biases* → https://bit.ly/45BCkYz Timestamps: 00:00 - Introduction to Gradient Dissent Podcast 00:48 - Richard Socher’s Journey: From Linguistic Computer Science to AI 06:42 - The Genesis and Evolution of MetaMind 13:30 - Exploring You.com's Approach to Enhanced Search 18:15 - Demonstrating You.com's AI in Mortgage Calculations 24:10 - The Power of AI in Search: A Deep Dive with You.com 30:25 - Security Measures in Running AI-Generated Code 35:50 - Building a Robust and Secure AI Tech Stack 42:33 - The Role of AI in Automating and Transforming Digital Work 48:50 - Discussing Ethical Considerations and the Societal Impact of AI 55:15 - Envisioning the Future of AI in Daily Life and Work 01:02:00 - Reflecting on the Evolution of AI and Its Future Prospects 01:05:00 - Closing Remarks and Podcast Wrap-Up 🎙 Get our podcasts on these platforms: Apple Podcasts: http://wandb.me/apple-podcasts Spotify: http://wandb.me/spotify Google: http://wandb.me/gd_google YouTube: http://wandb.me/youtube Connect with Richard Socher: https://www.linkedin.com/in/richardsocher/ https://twitter.com/RichardSocher Follow Weights & Biases: https://twitter.com/weights_biases https://www.linkedin.com/company/wandb Join the Weights & Biases Discord Server: https://discord.gg/CkZKRNnaf3…
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Gradient Dissent: Conversations on AI
1 AI’s Future: Investment & Impact with Sarah Guo and Elad Gil 1:04:14
1:04:14 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:04:14
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدExplore the Future of Investment & Impact in AI with Host Lukas Biewald and Guests Elad Gill and Sarah Guo of the No Priors podcast. Sarah is the founder of Conviction VC, an AI-centric $100 million venture fund. Elad, a seasoned entrepreneur and startup investor, boasts an impressive portfolio in over 40 companies, each valued at $1 billion or more, and wrote the influential "High Growth Handbook." Join us for a deep dive into the nuanced world of AI, where we'll explore its broader industry impact, focusing on how startups can seamlessly blend product-centric approaches with a balance of innovation and practical development. *Subscribe to Weights & Biases* → https://bit.ly/45BCkYz Timestamps: 0:00 - Introduction 5:15 - Exploring Fine-Tuning vs RAG in AI 10:30 - Evaluating AI Research for Investment 15:45 - Impact of AI Models on Product Development 20:00 - AI's Role in Evolving Job Markets 25:15 - The Balance Between AI Research and Product Development 30:00 - Code Generation Technologies in Software Engineering 35:00 - AI's Broader Industry Implications 40:00 - Importance of Product-Driven Approaches in AI Startups 45:00 - AI in Various Sectors: Beyond Software Engineering 50:00 - Open Source vs Proprietary AI Models 55:00 - AI's Impact on Traditional Roles and Industries 1:00:00 - Closing Thoughts Thanks for listening to the Gradient Dissent podcast, brought to you by Weights & Biases. If you enjoyed this episode, please leave a review to help get the word out about the show. And be sure to subscribe so you never miss another insightful conversation. Follow Weights & Biases: YouTube: http://wandb.me/youtube Twitter: https://twitter.com/weights_biases LinkedIn: https://www.linkedin.com/company/wandb Join the Weights & Biases Discord Server: https://discord.gg/CkZKRNnaf3 #OCR #DeepLearning #AI #Modeling #ML…
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Gradient Dissent: Conversations on AI
In the latest episode of Gradient Dissent, we explore the innovative features and impact of LlamaIndex in AI data management with Jerry Liu , CEO of LlamaIndex . Jerry shares insights on how LlamaIndex integrates diverse data formats with advanced AI technologies, addressing challenges in data retrieval, analysis, and conversational memory. We also delve into the future of AI-driven systems and LlamaIndex's role in this rapidly evolving field. This episode is a must-watch for anyone interested in AI, data science, and the future of technology. Timestamps: 0:00 - Introduction 4:46 - Differentiating LlamaIndex in the AI framework ecosystem. 9:00 - Discussing data analysis, search, and retrieval applications. 14:17 - Exploring Retrieval Augmented Generation (RAG) and vector databases. 19:33 - Implementing and optimizing One Bot in Discord. 24:19 - Developing and evaluating datasets for AI systems. 28:00 - Community contributions and the growth of LlamaIndex. 34:34 - Discussing embedding models and the use of vector databases. 39:33 - Addressing AI model hallucinations and fine-tuning. 44:51 - Text extraction applications and agent-based systems in AI. 49:25 - Community contributions to LlamaIndex and managing refactors. 52:00 - Interactions with big tech's corpus and AI context length. 54:59 - Final thoughts on underrated aspects of ML and challenges in AI. Thanks for listening to the Gradient Dissent podcast, brought to you by Weights & Biases. If you enjoyed this episode, please leave a review to help get the word out about the show. And be sure to subscribe so you never miss another insightful conversation. Connect with Jerry: https://twitter.com/jerryjliu0 https://www.linkedin.com/in/jerry-liu-64390071/ Follow Weights & Biases: YouTube: http://wandb.me/youtube Twitter: https://twitter.com/weights_biases LinkedIn: https://www.linkedin.com/company/wandb Join the Weights & Biases Discord Server: https://discord.gg/CkZKRNnaf3 #OCR #DeepLearning #AI #Modeling #ML…
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Gradient Dissent: Conversations on AI
1 Bridging AI and Science: The Impact of Machine Learning on Material Innovation with Joe Spisak of Meta 1:14:44
1:14:44 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:14:44
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدIn the latest episode of Gradient Dissent, we hear from Joseph Spisak, Product Director, Generative AI @Meta, to explore the boundless impacts of AI and its expansive role in reshaping various sectors. We delve into the intricacies of models like GPT and Llama2, their influence on user experiences, and AI's groundbreaking contributions to fields like biology, material science, and green hydrogen production through the Open Catalyst Project. The episode also examines AI's practical business applications, from document summarization to intelligent note-taking, addressing the ethical complexities of AI deployment. We wrap up with a discussion on the significance of open-source AI development, community collaboration, and AI democratization. Tune in for valuable insights into the expansive world of AI, relevant to developers, business leaders, and tech enthusiasts. We discuss: 0:00 Intro 0:32 Joe is Back at Meta 3:28 What Does Meta Get Out Of Putting Out LLMs? 8:24 Measuring The Quality Of LLMs 10:55 How Do You Pick The Sizes Of Models 16:45 Advice On Choosing Which Model To Start With 24:57 The Secret Sauce In The Training 26:17 What Is Being Worked On Now 33:00 The Safety Mechanisms In Llama 2 37:00 The Datasets Llama 2 Is Trained On 38:00 On Multilingual Capabilities & Tone 43:30 On The Biggest Applications Of Llama 2 47:25 On Why The Best Teams Are Built By Users 54:01 The Culture Differences Of Meta vs Open Source 57:39 The AI Learning Alliance 1:01:34 Where To Learn About Machine Learning 1:05:10 Why AI For Science Is Under-rated 1:11:36 What Are The Biggest Issues With Real-World Applications Thanks for listening to the Gradient Dissent podcast, brought to you by Weights & Biases. If you enjoyed this episode, please leave a review to help get the word out about the show. And be sure to subscribe so you never miss another insightful conversation. #OCR #DeepLearning #AI #Modeling #ML…
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Gradient Dissent: Conversations on AI
In the premiere episode of Gradient Dissent Business, we're joined by Weights & Biases co-founder Chris Van Pelt for a deep dive into the world of large language models like GPT-3.5 and GPT-4. Chris bridges his expertise as both a tech founder and AI expert, offering key strategies for startups seeking to connect with early users, and for enterprises experimenting with AI. He highlights the melding of AI and traditional web development, sharing his insights on product evolution, leadership, and the power of customer conversations—even for the most introverted founders. He shares how personal development and authentic co-founder relationships enrich business dynamics. Join us for a compelling episode brimming with actionable advice for those looking to innovate with language models, all while managing the inherent complexities. Don't miss Chris Van Pelt's invaluable take on the future of AI in this thought-provoking installment of Gradient Dissent Business. We discuss: 0:00 - Intro 5:59 - Impactful relationships in Chris's life 13:15 - Advice for finding co-founders 16:25 - Chris's fascination with challenging problems 22:30 - Tech stack for AI labs 30:50 - Impactful capabilities of AI models 36:24 - How this AI era is different 47:36 - Advising large enterprises on language model integration 51:18 - Using language models for business intelligence and automation 52:13 - Closing thoughts and appreciation Thanks for listening to the Gradient Dissent Business podcast, with hosts Lavanya Shukla and Caryn Marooney, brought to you by Weights & Biases. Be sure to click the subscribe button below, to keep your finger on the pulse of this fast-moving space and hear from other amazing guests #OCR #DeepLearning #AI #Modeling #ML…
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Gradient Dissent: Conversations on AI
1 Providing Greater Access to LLMs with Brandon Duderstadt, Co-Founder and CEO of Nomic AI 1:01:25
1:01:25 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:01:25
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدOn this episode, we’re joined by Brandon Duderstadt, Co-Founder and CEO of Nomic AI . Both of Nomic AI’s products, Atlas and GPT4All, aim to improve the explainability and accessibility of AI. We discuss: - (0:55) What GPT4All is and its value proposition. - (6:56) The advantages of using smaller LLMs for specific tasks. - (9:42) Brandon’s thoughts on the cost of training LLMs. - (10:50) Details about the current state of fine-tuning LLMs. - (12:20) What quantization is and what it does. - (21:16) What Atlas is and what it allows you to do. - (27:30) Training code models versus language models. - (32:19) Details around evaluating different models. - (38:34) The opportunity for smaller companies to build open-source models. - (42:00) Prompt chaining versus fine-tuning models. Resources mentioned: Brandon Duderstadt - https://www.linkedin.com/in/brandon-duderstadt-a3269112a/ Nomic AI - https://www.linkedin.com/company/nomic-ai/ Nomic AI Website - https://home.nomic.ai/ Thanks for listening to the Gradient Dissent podcast, brought to you by Weights & Biases. If you enjoyed this episode, please leave a review to help get the word out about the show. And be sure to subscribe so you never miss another insightful conversation. #OCR #DeepLearning #AI #Modeling #ML…
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Gradient Dissent: Conversations on AI
1 Exploring PyTorch and Open-Source Communities with Soumith Chintala, VP/Fellow of Meta, Co-Creator of PyTorch 1:08:35
1:08:35 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:08:35
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدOn this episode, we’re joined by Soumith Chintala , VP/Fellow of Meta and Co-Creator of PyTorch. Soumith and his colleagues’ open-source framework impacted both the development process and the end-user experience of what would become PyTorch. We discuss: - The history of PyTorch’s development and TensorFlow’s impact on development decisions. - How a symbolic execution model affects the implementation speed of an ML compiler. - The strengths of different programming languages in various development stages. - The importance of customer engagement as a measure of success instead of hard metrics. - Why community-guided innovation offers an effective development roadmap. - How PyTorch’s open-source nature cultivates an efficient development ecosystem. - The role of community building in consolidating assets for more creative innovation. - How to protect community values in an open-source development environment. - The value of an intrinsic organizational motivation structure. - The ongoing debate between open-source and closed-source products, especially as it relates to AI and machine learning. Resources: - Soumith Chintala https://www.linkedin.com/in/soumith/ - Meta | LinkedIn https://www.linkedin.com/company/meta/ - Meta | Website https://about.meta.com/ - Pytorch https://pytorch.org/ Thanks for listening to the Gradient Dissent podcast, brought to you by Weights & Biases. If you enjoyed this episode, please leave a review to help get the word out about the show. And be sure to subscribe so you never miss another insightful conversation. #OCR #DeepLearning #AI #Modeling #ML…
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Gradient Dissent: Conversations on AI
1 Advanced AI Accelerators and Processors with Andrew Feldman of Cerebras Systems 1:00:10
1:00:10 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:00:10
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدOn this episode, we’re joined by Andrew Feldman , Founder and CEO of Cerebras Systems . Andrew and the Cerebras team are responsible for building the largest-ever computer chip and the fastest AI-specific processor in the industry. We discuss: - The advantages of using large chips for AI work. - Cerebras Systems’ process for building chips optimized for AI. - Why traditional GPUs aren’t the optimal machines for AI work. - Why efficiently distributing computing resources is a significant challenge for AI work. - How much faster Cerebras Systems’ machines are than other processors on the market. - Reasons why some ML-specific chip companies fail and what Cerebras does differently. - Unique challenges for chip makers and hardware companies. - Cooling and heat-transfer techniques for Cerebras machines. - How Cerebras approaches building chips that will fit the needs of customers for years to come. - Why the strategic vision for what data to collect for ML needs more discussion. Resources: Andrew Feldman - https://www.linkedin.com/in/andrewdfeldman/ Cerebras Systems - https://www.linkedin.com/company/cerebras-systems/ Cerebras Systems | Website - https://www.cerebras.net/ Thanks for listening to the Gradient Dissent podcast, brought to you by Weights & Biases. If you enjoyed this episode, please leave a review to help get the word out about the show. And be sure to subscribe so you never miss another insightful conversation. #OCR #DeepLearning #AI #Modeling #ML…
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Gradient Dissent: Conversations on AI
On this episode, we’re joined by Harrison Chase , Co-Founder and CEO of LangChain . Harrison and his team at LangChain are on a mission to make the process of creating applications powered by LLMs as easy as possible. We discuss: - What LangChain is and examples of how it works. - Why LangChain has gained so much attention. - When LangChain started and what sparked its growth. - Harrison’s approach to community-building around LangChain. - Real-world use cases for LangChain. - What parts of LangChain Harrison is proud of and which parts can be improved. - Details around evaluating effectiveness in the ML space. - Harrison's opinion on fine-tuning LLMs. - The importance of detailed prompt engineering. - Predictions for the future of LLM providers. Resources: Harrison Chase - https://www.linkedin.com/in/harrison-chase-961287118/ LangChain | LinkedIn - https://www.linkedin.com/company/langchain/ LangChain | Website - https://docs.langchain.com/docs/ Thanks for listening to the Gradient Dissent podcast, brought to you by Weights & Biases. If you enjoyed this episode, please leave a review to help get the word out about the show. And be sure to subscribe so you never miss another insightful conversation. #OCR #DeepLearning #AI #Modeling #ML…
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Gradient Dissent: Conversations on AI
On this episode, we’re joined by Jean Marc Alkazzi , Applied AI at idealworks . Jean focuses his attention on applied AI, leveraging the use of autonomous mobile robots (AMRs) to improve efficiency within factories and more. We discuss: - Use cases for autonomous mobile robots (AMRs) and how to manage a fleet of them. - How AMRs interact with humans working in warehouses. - The challenges of building and deploying autonomous robots. - Computer vision vs. other types of localization technology for robots. - The purpose and types of simulation environments for robotic testing. - The importance of aligning a robotic fleet’s workflow with concrete business objectives. - What the update process looks like for robots. - The importance of avoiding your own biases when developing and testing AMRs. - The challenges associated with troubleshooting ML systems. Resources: Jean Marc Alkazzi - https://www.linkedin.com/in/jeanmarcjeanazzi/ idealworks |LinkedIn - https://www.linkedin.com/company/idealworks-gmbh/ idealworks | Website - https://idealworks.com/ Thanks for listening to the Gradient Dissent podcast, brought to you by Weights & Biases. If you enjoyed this episode, please leave a review to help get the word out about the show. And be sure to subscribe so you never miss another insightful conversation. #OCR #DeepLearning #AI #Modeling #ML…
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Gradient Dissent: Conversations on AI
On this episode, we’re joined by Stella Biderman , Executive Director at EleutherAI and Lead Scientist - Mathematician at Booz Allen Hamilton. EleutherAI is a grassroots collective that enables open-source AI research and focuses on the development and interpretability of large language models (LLMs). We discuss: - How EleutherAI got its start and where it's headed. - The similarities and differences between various LLMs. - How to decide which model to use for your desired outcome. - The benefits and challenges of reinforcement learning from human feedback. - Details around pre-training and fine-tuning LLMs. - Which types of GPUs are best when training LLMs. - What separates EleutherAI from other companies training LLMs. - Details around mechanistic interpretability. - Why understanding what and how LLMs memorize is important. - The importance of giving researchers and the public access to LLMs. Stella Biderman - https://www.linkedin.com/in/stellabiderman/ EleutherAI - https://www.linkedin.com/company/eleutherai/ Resources: - https://www.eleuther.ai/ Thanks for listening to the Gradient Dissent podcast, brought to you by Weights & Biases. If you enjoyed this episode, please leave a review to help get the word out about the show. And be sure to subscribe so you never miss another insightful conversation. #OCR #DeepLearning #AI #Modeling #ML…
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Gradient Dissent: Conversations on AI
On this episode, we’re joined by Aidan Gomez , Co-Founder and CEO at Cohere . Cohere develops and releases a range of innovative AI-powered tools and solutions for a variety of NLP use cases. We discuss: - What “attention” means in the context of ML. - Aidan’s role in the “Attention Is All You Need” paper. - What state-space models (SSMs) are, and how they could be an alternative to transformers. - What it means for an ML architecture to saturate compute. - Details around data constraints for when LLMs scale. - Challenges of measuring LLM performance. - How Cohere is positioned within the LLM development space. - Insights around scaling down an LLM into a more domain-specific one. - Concerns around synthetic content and AI changing public discourse. - The importance of raising money at healthy milestones for AI development. Aidan Gomez - https://www.linkedin.com/in/aidangomez/ Cohere - https://www.linkedin.com/company/cohere-ai/ Thanks for listening to the Gradient Dissent podcast, brought to you by Weights & Biases. If you enjoyed this episode, please leave a review to help get the word out about the show. And be sure to subscribe so you never miss another insightful conversation. Resources: - https://cohere.ai/ - “Attention Is All You Need” #OCR #DeepLearning #AI #Modeling #ML…
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Gradient Dissent: Conversations on AI
1 Neural Network Pruning and Training with Jonathan Frankle at MosaicML 1:02:00
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پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدJonathan Frankle , Chief Scientist at MosaicML and Assistant Professor of Computer Science at Harvard University, joins us on this episode. With comprehensive infrastructure and software tools, MosaicML aims to help businesses train complex machine-learning models using their own proprietary data. We discuss: - Details of Jonathan’s Ph.D. dissertation which explores his “Lottery Ticket Hypothesis.” - The role of neural network pruning and how it impacts the performance of ML models. - Why transformers will be the go-to way to train NLP models for the foreseeable future. - Why the process of speeding up neural net learning is both scientific and artisanal. - What MosaicML does, and how it approaches working with clients. - The challenges for developing AGI. - Details around ML training policy and ethics. - Why data brings the magic to customized ML models. - The many use cases for companies looking to build customized AI models. Jonathan Frankle - https://www.linkedin.com/in/jfrankle/ Resources: - https://mosaicml.com/ - The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks Thanks for listening to the Gradient Dissent podcast, brought to you by Weights & Biases. If you enjoyed this episode, please leave a review to help get the word out about the show. And be sure to subscribe so you never miss another insightful conversation. #OCR #DeepLearning #AI #Modeling #ML…
About This Episode Shreya Shankar is a computer scientist, PhD student in databases at UC Berkeley, and co-author of "Operationalizing Machine Learning: An Interview Study", an ethnographic interview study with 18 machine learning engineers across a variety of industries on their experience deploying and maintaining ML pipelines in production. Shreya explains the high-level findings of "Operationalizing Machine Learning"; variables that indicate a successful deployment (velocity, validation, and versioning), common pain points, and a grouping of the MLOps tool stack into four layers. Shreya and Lukas also discuss examples of data challenges in production, Jupyter Notebooks, and reproducibility. Show notes (transcript and links): http://wandb.me/gd-shreya --- 💬 *Host:* Lukas Biewald --- *Subscribe and listen to Gradient Dissent today!* 👉 Apple Podcasts: http://wandb.me/apple-podcasts 👉 Google Podcasts: http://wandb.me/google-podcasts 👉 Spotify: http://wandb.me/spotify…
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Gradient Dissent: Conversations on AI
1 Sarah Catanzaro — Remembering the Lessons of the Last AI Renaissance 1:16:24
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پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدSarah Catanzaro is a General Partner at Amplify Partners, and one of the leading investors in AI and ML. Her investments include RunwayML, OctoML, and Gantry. Sarah and Lukas discuss lessons learned from the "AI renaissance" of the mid 2010s and compare the general perception of ML back then to now. Sarah also provides insights from her perspective as an investor, from selling into tech-forward companies vs. traditional enterprises, to the current state of MLOps/developer tools, to large language models and hype bubbles. Show notes (transcript and links): http://wandb.me/gd-sarah-catanzaro --- ⏳ Timestamps: 0:00 Intro 1:10 Lessons learned from previous AI hype cycles 11:46 Maintaining technical knowledge as an investor 19:05 Selling into tech-forward companies vs. traditional enterprises 25:09 Building point solutions vs. end-to-end platforms 36:27 LLMS, new tooling, and commoditization 44:39 Failing fast and how startups can compete with large cloud vendors 52:31 The gap between research and industry, and vice versa 1:00:01 Advice for ML practitioners during hype bubbles 1:03:17 Sarah's thoughts on Rust and bottlenecks in deployment 1:11:23 The importance of aligning technology with people 1:15:58 Outro --- 📝 Links 📍 "Operationalizing Machine Learning: An Interview Study" (Shankar et al., 2022), an interview study on deploying and maintaining ML production pipelines: https://arxiv.org/abs/2209.09125 --- Connect with Sarah: 📍 Sarah on Twitter: https://twitter.com/sarahcat21 📍 Sarah's Amplify Partners profile: https://www.amplifypartners.com/investment-team/sarah-catanzaro --- 💬 Host: Lukas Biewald 📹 Producers: Riley Fields, Angelica Pan --- Subscribe and listen to Gradient Dissent today! 👉 Apple Podcasts: http://wandb.me/apple-podcasts 👉 Google Podcasts: http://wandb.me/google-podcasts 👉 Spotify: http://wandb.me/spotify…
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Gradient Dissent: Conversations on AI
Cristóbal Valenzuela is co-founder and CEO of Runway ML, a startup that's building the future of AI-powered content creation tools. Runway's research areas include diffusion systems for image generation. Cris gives a demo of Runway's video editing platform. Then, he shares how his interest in combining technology with creativity led to Runway, and where he thinks the world of computation and content might be headed to next. Cris and Lukas also discuss Runway's tech stack and research. Show notes (transcript and links): http://wandb.me/gd-cristobal-valenzuela --- ⏳ Timestamps: 0:00 Intro 1:06 How Runway uses ML to improve video editing 6:04 A demo of Runway’s video editing capabilities 13:36 How Cris entered the machine learning space 18:55 Cris’ thoughts on the future of ML for creative use cases 28:46 Runway’s tech stack 32:38 Creativity, and keeping humans in the loop 36:15 The potential of audio generation and new mental models 40:01 Outro --- 🎥 Runway's AI Film Festival is accepting submissions through January 23! 🎥 They are looking for art and artists that are at the forefront of AI filmmaking. Submissions should be between 1-10 minutes long, and a core component of the film should include generative content 📍 https://aiff.runwayml.com/ -- 📝 Links 📍 "High-Resolution Image Synthesis with Latent Diffusion Models" (Rombach et al., 2022)", the research paper behind Stable Diffusion: https://research.runwayml.com/publications/high-resolution-image-synthesis-with-latent-diffusion-models 📍 Lexman Artificial, a 100% AI-generated podcast: https://twitter.com/lexman_ai --- Connect with Cris and Runway: 📍 Cris on Twitter: https://twitter.com/c_valenzuelab 📍 Runway on Twitter: https://twitter.com/runwayml 📍 Careers at Runway: https://runwayml.com/careers/ --- 💬 Host: Lukas Biewald 📹 Producers: Riley Fields, Angelica Pan --- Subscribe and listen to Gradient Dissent today! 👉 Apple Podcasts: http://wandb.me/apple-podcasts 👉 Google Podcasts: http://wandb.me/google-podcasts 👉 Spotify: http://wandb.me/spotify…
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Gradient Dissent: Conversations on AI
1 Jeremy Howard — The Simple but Profound Insight Behind Diffusion 1:12:57
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پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدJeremy Howard is a co-founder of fast.ai, the non-profit research group behind the popular massive open online course "Practical Deep Learning for Coders", and the open source deep learning library "fastai". Jeremy is also a co-founder of #Masks4All, a global volunteer organization founded in March 2020 that advocated for the public adoption of homemade face masks in order to help slow the spread of COVID-19. His Washington Post article "Simple DIY masks could help flatten the curve." went viral in late March/early April 2020, and is associated with the U.S CDC's change in guidance a few days later to recommend wearing masks in public. In this episode, Jeremy explains how diffusion works and how individuals with limited compute budgets can engage meaningfully with large, state-of-the-art models. Then, as our first-ever repeat guest on Gradient Dissent, Jeremy revisits a previous conversation with Lukas on Python vs. Julia for machine learning. Finally, Jeremy shares his perspective on the early days of COVID-19, and what his experience as one of the earliest and most high-profile advocates for widespread mask-wearing was like. Show notes (transcript and links): http://wandb.me/gd-jeremy-howard-2 --- ⏳ Timestamps: 0:00 Intro 1:06 Diffusion and generative models 14:40 Engaging with large models meaningfully 20:30 Jeremy's thoughts on Stable Diffusion and OpenAI 26:38 Prompt engineering and large language models 32:00 Revisiting Julia vs. Python 40:22 Jeremy's science advocacy during early COVID days 1:01:03 Researching how to improve children's education 1:07:43 The importance of executive buy-in 1:11:34 Outro 1:12:02 Bonus: Weights & Biases --- 📝 Links 📍 Jeremy's previous Gradient Dissent episode (8/25/2022): http://wandb.me/gd-jeremy-howard 📍 "Simple DIY masks could help flatten the curve. We should all wear them in public.", Jeremy's viral Washington Post article: https://www.washingtonpost.com/outlook/2020/03/28/masks-all-coronavirus/ 📍 "An evidence review of face masks against COVID-19" (Howard et al., 2021), one of the first peer-reviewed papers on the effectiveness of wearing masks: https://www.pnas.org/doi/10.1073/pnas.2014564118 📍 Jeremy's Twitter thread summary of "An evidence review of face masks against COVID-19": https://twitter.com/jeremyphoward/status/1348771993949151232 📍 Read more about Jeremy's mask-wearing advocacy: https://www.smh.com.au/world/north-america/australian-expat-s-push-for-universal-mask-wearing-catches-fire-in-the-us-20200401-p54fu2.html --- Connect with Jeremy and fast.ai: 📍 Jeremy on Twitter: https://twitter.com/jeremyphoward 📍 fast.ai on Twitter: https://twitter.com/FastDotAI 📍 Jeremy on LinkedIn: https://www.linkedin.com/in/howardjeremy/ --- 💬 Host: Lukas Biewald 📹 Producers: Riley Fields, Angelica Pan…
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Gradient Dissent: Conversations on AI
Jerome Pesenti is the former VP of AI at Meta, a tech conglomerate that includes Facebook, WhatsApp, and Instagram, and one of the most exciting places where AI research is happening today. Jerome shares his thoughts on Transformers-based large language models, and why he's excited by the progress but skeptical of the term "AGI". Then, he discusses some of the practical applications of ML at Meta (recommender systems and moderation!) and dives into the story behind Meta's development of PyTorch. Jerome and Lukas also chat about Jerome's time at IBM Watson and in drug discovery. Show notes (transcript and links): http://wandb.me/gd-jerome-pesenti --- ⏳ Timestamps: 0:00 Intro 0:28 Jerome's thought on large language models 12:53 AI applications and challenges at Meta 18:41 The story behind developing PyTorch 26:40 Jerome's experience at IBM Watson 28:53 Drug discovery, AI, and changing the game 36:10 The potential of education and AI 40:10 Meta and AR/VR interfaces 43:43 Why NVIDIA is such a powerhouse 47:08 Jerome's advice to people starting their careers 48:50 Going back to coding, the challenges of scaling 52:11 Outro --- Connect with Jerome: 📍 Jerome on Twitter: https://twitter.com/an_open_mind 📍 Jerome on LinkedIn: https://www.linkedin.com/in/jpesenti/ --- 💬 Host: Lukas Biewald 📹 Producers: Riley Fields, Angelica Pan, Lavanya Shukla --- Subscribe and listen to our podcast today! 👉 Apple Podcasts: http://wandb.me/apple-podcasts 👉 Google Podcasts: http://wandb.me/google-podcasts 👉 Spotify: http://wandb.me/spotify…
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Gradient Dissent: Conversations on AI
1 D. Sculley — Technical Debt, Trade-offs, and Kaggle 1:00:26
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پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدD. Sculley is CEO of Kaggle, the beloved and well-known data science and machine learning community. D. discusses his influential 2015 paper "Machine Learning: The High Interest Credit Card of Technical Debt" and what the current challenges of deploying models in the real world are now, in 2022. Then, D. and Lukas chat about why Kaggle is like a rain forest, and about Kaggle's historic, current, and potential future roles in the broader machine learning community. Show notes (transcript and links): http://wandb.me/gd-d-sculley --- ⏳ Timestamps: 0:00 Intro 1:02 Machine learning and technical debt 11:18 MLOps, increased stakes, and realistic expectations 19:12 Evaluating models methodically 25:32 Kaggle's role in the ML world 33:34 Kaggle competitions, datasets, and notebooks 38:49 Why Kaggle is like a rain forest 44:25 Possible future directions for Kaggle 46:50 Healthy competitions and self-growth 48:44 Kaggle's relevance in a compute-heavy future 53:49 AutoML vs. human judgment 56:06 After a model goes into production 1:00:00 Outro --- Connect with D. and Kaggle: 📍 D. on LinkedIn: https://www.linkedin.com/in/d-sculley-90467310/ 📍 Kaggle on Twitter: https://twitter.com/kaggle --- Links: 📍 "Machine Learning: The High Interest Credit Card of Technical Debt" (Sculley et al. 2014): https://research.google/pubs/pub43146/ --- 💬 Host: Lukas Biewald 📹 Producers: Riley Fields, Angelica Pan, Anish Shah, Lavanya Shukla --- Subscribe and listen to our podcast today! 👉 Apple Podcasts: http://wandb.me/apple-podcasts 👉 Google Podcasts: http://wandb.me/google-podcasts 👉 Spotify: http://wandb.me/spotify…
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Gradient Dissent: Conversations on AI
1 Emad Mostaque — Stable Diffusion, Stability AI, and What’s Next 1:10:29
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پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدEmad Mostaque is CEO and co-founder of Stability AI, a startup and network of decentralized developer communities building open AI tools. Stability AI is the company behind Stable Diffusion, the well-known, open source, text-to-image generation model. Emad shares the story and mission behind Stability AI (unlocking humanity's potential with open AI technology), and explains how Stability's role as a community catalyst and compute provider might evolve as the company grows. Then, Emad and Lukas discuss what the future might hold in store: big models vs "optimal" models, better datasets, and more decentralization. - 🎶 Special note: This week’s theme music was composed by Weights & Biases’ own Justin Tenuto with help from Harmonai’s Dance Diffusion. - Show notes (transcript and links): http://wandb.me/gd-emad-mostaque - ⏳ Timestamps: 00:00 Intro 00:42 How AI fits into the safety/security industry 09:33 Event matching and object detection 14:47 Running models on the right hardware 17:46 Scaling model evaluation 23:58 Monitoring and evaluation challenges 26:30 Identifying and sorting issues 30:27 Bridging vision and language domains 39:25 Challenges and promises of natural language technology 41:35 Production environment 43:15 Using synthetic data 49:59 Working with startups 53:55 Multi-task learning, meta-learning, and user experience 56:44 Optimization and testing across multiple platforms 59:36 Outro - Connect with Jehan and Motorola Solutions: 📍 Jehan on LinkedIn: https://www.linkedin.com/in/jehanw/ 📍 Jehan on Twitter: https://twitter.com/jehan/ 📍 Motorola Solutions on Twitter: https://twitter.com/MotoSolutions/ 📍 Careers at Motorola Solutions: https://www.motorolasolutions.com/en_us/about/careers.html - 💬 Host: Lukas Biewald 📹 Producers: Riley Fields, Angelica Pan, Lavanya Shukla, Anish Shah - Subscribe and listen to our podcast today! 👉 Apple Podcasts: http://wandb.me/apple-podcasts 👉 Google Podcasts: http://wandb.me/google-podcasts 👉 Spotify: http://wandb.me/spotify…
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Gradient Dissent: Conversations on AI
1 Jehan Wickramasuriya — AI in High-Stress Scenarios 1:00:02
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پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدJehan Wickramasuriya is the Vice President of AI, Platform & Data Services at Motorola Solutions, a global leader in public safety and enterprise security. In this episode, Jehan discusses how Motorola Solutions uses AI to simplify data streams to help maximize human potential in high-stress situations. He also shares his thoughts on augmenting synthetic data with real data and the challenges posed in partnering with startups. Show notes (transcript and links): http://wandb.me/gd-jehan-wickramasuriya - ⏳ Timestamps: 00:00 Intro 00:42 How AI fits into the safety/security industry 09:33 Event matching and object detection 14:47 Running models on the right hardware 17:46 Scaling model evaluation 23:58 Monitoring and evaluation challenges 26:30 Identifying and sorting issues 30:27 Bridging vision and language domains 39:25 Challenges and promises of natural language technology 41:35 Production environment 43:15 Using synthetic data 49:59 Working with startups 53:55 Multi-task learning, meta-learning, and user experience 56:44 Optimization and testing across multiple platforms 59:36 Outro - Connect with Jehan and Motorola Solutions: 📍 Jehan on LinkedIn: https://www.linkedin.com/in/jehanw/ 📍 Jehan on Twitter: https://twitter.com/jehan/ 📍 Motorola Solutions on Twitter: https://twitter.com/MotoSolutions/ 📍 Careers at Motorola Solutions: https://www.motorolasolutions.com/en_us/about/careers.html - 💬 Host: Lukas Biewald 📹 Producers: Riley Fields, Cayla Sharp, Angelica Pan, Lavanya Shukla - Subscribe and listen to our podcast today! 👉 Apple Podcasts: http://wandb.me/apple-podcasts 👉 Google Podcasts: http://wandb.me/google-podcasts 👉 Spotify: http://wandb.me/spotify…
Will Falcon is the CEO and co-founder of Lightning AI, a platform that enables users to quickly build and publish ML models. In this episode, Will explains how Lightning addresses the challenges of a fragmented AI ecosystem and reveals which framework PyTorch Lightning was originally built upon (hint: not PyTorch!) He also shares lessons he took from his experience serving in the military and offers a recommendation to veterans who want to work in tech. Show notes (transcript and links): http://wandb.me/gd-will-falcon --- ⏳ Timestamps: 00:00 Intro 01:00 From SEAL training to FAIR 04:17 Stress-testing Lightning 07:55 Choosing PyTorch over TensorFlow and other frameworks 13:16 Components of the Lightning platform 17:01 Launching Lightning from Facebook 19:09 Similarities between leadership and research 22:08 Lessons from the military 26:56 Scaling PyTorch Lightning to Lightning AI 33:21 Hiring the right people 35:21 The future of Lightning 39:53 Reducing algorithm complexity in self-supervised learning 42:19 A fragmented ML landscape 44:35 Outro --- Connect with Lightning 📍 Website: https://lightning.ai 📍 Twitter: https://twitter.com/LightningAI 📍 LinkedIn: https://www.linkedin.com/company/pytorch-lightning/ 📍 Careers: https://boards.greenhouse.io/lightningai --- 💬 Host: Lukas Biewald 📹 Producers: Riley Fields, Anish Shah, Cayla Sharp, Angelica Pan, Lavanya Shukla --- Subscribe and listen to our podcast today! 👉 Apple Podcasts: http://wandb.me/apple-podcasts 👉 Google Podcasts: http://wandb.me/google-podcasts 👉 Spotify: http://wandb.me/spotify…
Aaron Colak is the Leader of Core Machine Learning at Qualtrics, an experiment management company that takes large language models and applies them to real-world, B2B use cases. In this episode, Aaron describes mixing classical linguistic analysis with deep learning models and how Qualtrics organized their machine learning organizations and model to leverage the best of these techniques. He also explains how advances in NLP have invited new opportunities in low-resource languages. Show notes (transcript and links): http://wandb.me/gd-aaron-colak --- ⏳ Timestamps: 00:00 Intro 00:57 Evolving from surveys to experience management 04:56 Detecting sentiment with ML 10:57 Working with large language models and rule-based systems 14:50 Zero-shot learning, NLP, and low-resource languages 20:11 Letting customers control data 25:13 Deep learning and tabular data 28:40 Hyperscalers and performance monitoring 34:54 Combining deep learning with linguistics 40:03 A sense of accomplishment 42:52 Causality and observational data in healthcare 45:09 Challenges of interdisciplinary collaboration 49:27 Outro --- Connect with Aaron and Qualtrics 📍 Aaron on LinkedIn: https://www.linkedin.com/in/aaron-r-colak-3522308/ 📍 Qualtrics on Twitter: https://twitter.com/qualtrics/ 📍 Careers at Qualtrics: https://www.qualtrics.com/careers/ --- 💬 Host: Lukas Biewald 📹 Producers: Riley Fields, Cayla Sharp, Angelica Pan, Lavanya Shukla --- Subscribe and listen to our podcast today! 👉 Apple Podcasts: http://wandb.me/apple-podcasts 👉 Google Podcasts: http://wandb.me/google-podcasts 👉 Spotify: http://wandb.me/spotify…
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Gradient Dissent: Conversations on AI
Jordan Fisher is the CEO and co-founder of Standard AI, an autonomous checkout company that’s pushing the boundaries of computer vision. In this episode, Jordan discusses “the Wild West” of the MLOps stack and tells Lukas why Rust beats Python. He also explains why AutoML shouldn't be overlooked and uses a bag of chips to help explain the Manifold Hypothesis. Show notes (transcript and links): http://wandb.me/gd-jordan-fisher --- ⏳ Timestamps: 00:00 Intro 00:40 The origins of Standard AI 08:30 Getting Standard into stores 18:00 Supervised learning, the advent of synthetic data, and the manifold hypothesis 24:23 What's important in a MLOps stack 27:32 The merits of AutoML 30:00 Deep learning frameworks 33:02 Python versus Rust 39:32 Raw camera data versus video 42:47 The future of autonomous checkout 48:02 Sharing the StandardSim data set 52:30 Picking the right tools 54:30 Overcoming dynamic data set challenges 57:35 Outro --- Connect with Jordan and Standard AI 📍 Jordan on LinkedIn: https://www.linkedin.com/in/jordan-fisher-81145025/ 📍 Standard AI on Twitter: https://twitter.com/StandardAi 📍 Careers at Standard AI: https://careers.standard.ai/ --- 💬 Host: Lukas Biewald 📹 Producers: Riley Fields, Cayla Sharp, Angelica Pan, Lavanya Shukla --- Subscribe and listen to our podcast today! 👉 Apple Podcasts: http://wandb.me/apple-podcasts 👉 Google Podcasts: http://wandb.me/google-podcasts 👉 Spotify: http://wandb.me/spotify…
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Gradient Dissent: Conversations on AI
1 Drago Anguelov — Robustness, Safety, and Scalability at Waymo 1:09:01
1:09:01 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:09:01
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدDrago Anguelov is a Distinguished Scientist and Head of Research at Waymo, an autonomous driving technology company and subsidiary of Alphabet Inc. We begin by discussing Drago's work on the original Inception architecture, winner of the 2014 ImageNet challenge and introduction of the inception module. Then, we explore milestones and current trends in autonomous driving, from Waymo's release of the Open Dataset to the trade-offs between modular and end-to-end systems. Drago also shares his thoughts on finding rare examples, and the challenges of creating scalable and robust systems. Show notes (transcript and links): http://wandb.me/gd-drago-anguelov --- ⏳ Timestamps: 0:00 Intro 0:45 The story behind the Inception architecture 13:51 Trends and milestones in autonomous vehicles 23:52 The challenges of scalability and simulation 30:19 Why LiDar and mapping are useful 35:31 Waymo Via and autonomous trucking 37:31 Robustness and unsupervised domain adaptation 40:44 Why Waymo released the Waymo Open Dataset 49:02 The domain gap between simulation and the real world 56:40 Finding rare examples 1:04:34 The challenges of production requirements 1:08:36 Outro --- Connect with Drago & Waymo 📍 Drago on LinkedIn: https://www.linkedin.com/in/dragomiranguelov/ 📍 Waymo on Twitter: https://twitter.com/waymo/ 📍 Careers at Waymo: https://waymo.com/careers/ --- Links: 📍 Inception v1: https://arxiv.org/abs/1409.4842 📍 "SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation", Qiangeng Xu et al. (2021), https://arxiv.org/abs/2108.06709 📍 "GradTail: Learning Long-Tailed Data Using Gradient-based Sample Weighting", Zhao Chen et al. (2022), https://arxiv.org/abs/2201.05938 --- 💬 Host: Lukas Biewald 📹 Producers: Cayla Sharp, Angelica Pan, Lavanya Shukla --- Subscribe and listen to our podcast today! 👉 Apple Podcasts: http://wandb.me/apple-podcasts 👉 Google Podcasts: http://wandb.me/google-podcasts 👉 Spotify: http://wandb.me/spotify…
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Gradient Dissent: Conversations on AI
1 James Cham — Investing in the Intersection of Business and Technology 1:06:11
1:06:11 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:06:11
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدJames Cham is a co-founder and partner at Bloomberg Beta, an early-stage venture firm that invests in machine learning and the future of work, the intersection between business and technology. James explains how his approach to investing in AI has developed over the last decade, which signals of success he looks for in the ever-adapting world of venture startups (tip: look for the "gradient of admiration"), and why it's so important to demystify ML for executives and decision-makers. Lukas and James also discuss how new technologies create new business models, and what the ethical considerations of a world where machine learning is accepted to be possibly fallible would be like. Show notes (transcript and links): http://wandb.me/gd-james-cham --- ⏳ Timestamps: 0:00 Intro 0:46 How investment in AI has changed and developed 7:08 Creating the first MI landscape infographics 10:30 The impact of ML on organizations and management 17:40 Demystifying ML for executives 21:40 Why signals of successful startups change over time 27:07 ML and the emergence of new business models 37:58 New technology vs new consumer goods 39:50 What James considers when investing 44:19 Ethical considerations of accepting that ML models are fallible 50:30 Reflecting on past investment decisions 52:56 Thoughts on consciousness and Theseus' paradox 59:08 Why it's important to increase general ML literacy 1:03:09 Outro 1:03:30 Bonus: How James' faith informs his thoughts on ML --- Connect with James: 📍 Twitter: https://twitter.com/jamescham 📍 Bloomberg Beta: https://github.com/Bloomberg-Beta/Manual --- Links: 📍 "Street-Level Algorithms: A Theory at the Gaps Between Policy and Decisions" by Ali Alkhatib and Michael Bernstein (2019): https://doi.org/10.1145/3290605.3300760 --- 💬 Host: Lukas Biewald 📹 Producers: Cayla Sharp, Angelica Pan, Lavanya Shukla --- Subscribe and listen to our podcast today! 👉 Apple Podcasts: http://wandb.me/apple-podcasts 👉 Google Podcasts: http://wandb.me/google-podcasts 👉 Spotify: http://wandb.me/spotify…
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Gradient Dissent: Conversations on AI
Check out this report by Boris about DALL-E mini: https://wandb.ai/dalle-mini/dalle-mini/reports/DALL-E-mini-Generate-images-from-any-text-prompt--VmlldzoyMDE4NDAy https://wandb.ai/_scott/wandb_example/reports/Collaboration-in-ML-made-easy-with-W-B-Teams--VmlldzoxMjcwMDU5 https://twitter.com/weirddalle Connect with Boris: 📍 Twitter: https://twitter.com/borisdayma --- 💬 Host: Lukas Biewald 📹 Producers: Cayla Sharp, Angelica Pan, Sanyam Bhutani, Lavanya Shukla --- Subscribe and listen to our podcast today! 👉 Apple Podcasts: http://wandb.me/apple-podcasts 👉 Google Podcasts: http://wandb.me/google-podcasts 👉 Spotify: http://wandb.me/spotify…
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Gradient Dissent: Conversations on AI
1 Tristan Handy — The Work Behind the Data Work 1:00:48
1:00:48 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:00:48
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدTristan Handy is CEO and founder of dbt Labs. dbt (data build tool) simplifies the data transformation workflow and helps organizations make better decisions. Lukas and Tristan dive into the history of the modern data stack and the subsequent challenges that dbt was created to address; communities of identity and product-led growth; and thoughts on why SQL has survived and thrived for so long. Tristan also shares his hopes for the future of BI tools and the data stack. Show notes (transcript and links): http://wandb.me/gd-tristan-handy --- ⏳ Timestamps: 0:00 Intro 0:40 How dbt makes data transformation easier 4:52 dbt and avoiding bad data habits 14:23 Agreeing on organizational ground truths 19:04 Staying current while running a company 22:15 The origin story of dbt 26:08 Why dbt is conceptually simple but hard to execute 34:47 The dbt community and the bottom-up mindset 41:50 The future of data and operations 47:41 dbt and machine learning 49:17 Why SQL is so ubiquitous 55:20 Bridging the gap between the ML and data worlds 1:00:22 Outro --- Connect with Tristan: 📍 Twitter: https://twitter.com/jthandy 📍 The Analytics Engineering Roundup: https://roundup.getdbt.com/ --- 💬 Host: Lukas Biewald 📹 Producers: Cayla Sharp, Angelica Pan, Sanyam Bhutani, Lavanya Shukla --- Subscribe and listen to our podcast today! 👉 Apple Podcasts: http://wandb.me/apple-podcasts 👉 Google Podcasts: http://wandb.me/google-podcasts 👉 Spotify: http://wandb.me/spotify…
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Gradient Dissent: Conversations on AI
Johannes Otterbach is VP of Machine Learning Research at Merantix Momentum, an ML consulting studio that helps their clients build AI solutions. Johannes and Lukas talk about Johannes' background in physics and applications of ML to quantum computing, why Merantix is investing in creating a cloud-agnostic tech stack, and the unique challenges of developing and deploying models for different customers. They also discuss some of Johannes' articles on the impact of NLP models and the future of AI regulations. Show notes (transcript and links): http://wandb.me/gd-johannes-otterbach --- ⏳ Timestamps: 0:00 Intro 1:04 Quantum computing and ML applications 9:21 Merantix, Ventures, and ML consulting 19:09 Building a cloud-agnostic tech stack 24:40 The open source tooling ecosystem 30:28 Handing off models to customers 31:42 The impact of NLP models on the real world 35:40 Thoughts on AI and regulation 40:10 Statistical physics and optimization problems 42:50 The challenges of getting high-quality data 44:30 Outro --- Connect with Johannes: 📍 LinkedIn: https://twitter.com/jsotterbach 📍 Personal website: http://jotterbach.github.io/ 📍 Careers at Merantix Momentum: https://merantix-momentum.com/about#jobs --- 💬 Host: Lukas Biewald 📹 Producers: Cayla Sharp, Angelica Pan, Sanyam Bhutani, Lavanya Shukla --- Subscribe and listen to our podcast today! 👉 Apple Podcasts: http://wandb.me/apple-podcasts 👉 Google Podcasts: http://wandb.me/google-podcasts 👉 Spotify: http://wandb.me/spotify…
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Gradient Dissent: Conversations on AI
Mircea Neagovici is VP, AI and Research at UiPath, where his team works on task mining and other ways of combining robotic process automation (RPA) with machine learning for their B2B products. Mircea and Lukas talk about the challenges of allowing customers to fine-tune their models, the trade-offs between traditional ML and more complex deep learning models, and how Mircea transitioned from a more traditional software engineering role to running a machine learning organization. Show notes (transcript and links): http://wandb.me/gd-mircea-neagovici --- ⏳ Timestamps: 0:00 Intro 1:05 Robotic Process Automation (RPA) 4:20 RPA and machine learning at UiPath 8:20 Fine-tuning & PyTorch vs TensorFlow 14:50 Monitoring models in production 16:33 Task mining 22:37 Trade-offs in ML models 29:45 Transitioning from software engineering to ML 34:02 ML teams vs engineering teams 40:41 Spending more time on data 43:55 The organizational machinery behind ML models 45:57 Outro --- Connect with Mircea: 📍 LinkedIn: https://www.linkedin.com/in/mirceaneagovici/ 📍 Careers at UiPath: https://www.uipath.com/company/careers --- 💬 Host: Lukas Biewald 📹 Producers: Cayla Sharp, Angelica Pan, Sanyam Bhutani, Lavanya Shukla…
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مشابه Gradient Dissent: Conversations on AI
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