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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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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Netflix Sports Club Podcast
America’s Sweethearts: Dallas Cowboys Cheerleaders is back for its second season! Kay Adams welcomes the women who assemble the squad, Kelli Finglass and Judy Trammell, to the Netflix Sports Club Podcast. They discuss the emotional rollercoaster of putting together the Dallas Cowboys Cheerleaders. Judy and Kelli open up about what it means to embrace flaws in the pursuit of perfection, how they identify that winning combo of stamina and wow factor, and what it’s like to see Thunderstruck go viral. Plus, the duo shares their hopes for the future of DCC beyond the field. Netflix Sports Club Podcast Correspondent Dani Klupenger also stops by to discuss the NBA Finals, basketball’s biggest moments with Michael Jordan and LeBron, and Kevin Durant’s international dominance. Dani and Kay detail the rise of Coco Gauff’s greatness and the most exciting storylines heading into Wimbledon. We want to hear from you! Leave us a voice message at www.speakpipe.com/NetflixSportsClub Find more from the Netflix Sports Club Podcast @NetflixSports on YouTube, TikTok, Instagram, Facebook, and X. You can catch Kay Adams @heykayadams and Dani Klupenger @daniklup on IG and X. Be sure to follow Kelli Finglass and Judy Trammel @kellifinglass and @dcc_judy on IG. Hosted by Kay Adams, the Netflix Sports Club Podcast is an all-access deep dive into the Netflix Sports universe! Each episode, Adams will speak with athletes, coaches, and a rotating cycle of familiar sports correspondents to talk about a recently released Netflix Sports series. The podcast will feature hot takes, deep analysis, games, and intimate conversations. Be sure to watch, listen, and subscribe to the Netflix Sports Club Podcast on YouTube, Spotify, Tudum, or wherever you get your podcasts. New episodes on Fridays every other week.…
Jeremy Howard — The Story of fast.ai and Why Python Is Not the Future of ML
Manage episode 308148979 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
Jeremy Howard is a founding researcher at fast.ai, a research institute dedicated to making Deep Learning more accessible. Previously, he was the CEO and Founder at Enlitic, an advanced machine learning company in San Francisco, California. Howard is a faculty member at Singularity University, where he teaches data science. He is also a Young Global Leader with the World Economic Forum, and spoke at the World Economic Forum Annual Meeting 2014 on "Jobs For The Machines." Howard advised Khosla Ventures as their Data Strategist, identifying the biggest opportunities for investing in data-driven startups and mentoring their portfolio companies to build data-driven businesses. Howard was the founding CEO of two successful Australian startups, FastMail and Optimal Decisions Group. Before that, he spent eight years in management consulting, at McKinsey & Company and AT Kearney. TOPICS COVERED: 0:00 Introduction 0:52 Dad things 2:40 The story of Fast.ai 4:57 How the courses have evolved over time 9:24 Jeremy’s top down approach to teaching 13:02 From Fast.ai the course to Fast.ai the library 15:08 Designing V2 of the library from the ground up 21:44 The ingenious type dispatch system that powers Fast.ai 25:52 Were you able to realize the vision behind v2 of the library 28:05 Is it important to you that Fast.ai is used by everyone in the world, beyond the context of learning 29:37 Real world applications of Fast.ai, including animal husbandry 35:08 Staying ahead of the new developments in the field 38:50 A bias towards learning by doing 40:02 What’s next for Fast.ai 40.35 Python is not the future of Machine Learning 43:58 One underrated aspect of machine learning 45:25 Biggest challenge of machine learning in the real world Follow Jeremy on Twitter: https://twitter.com/jeremyphoward Links: Deep learning R&D & education: http://fast.ai Software: http://docs.fast.ai Book: http://up.fm/book Course: http://course.fast.ai Papers: The business impact of deep learning https://dl.acm.org/doi/10.1145/2487575.2491127 De-identification Methods for Open Health Data https://www.jmir.org/2012/1/e33/ Visit our podcasts homepage for transcripts and more episodes! www.wandb.com/podcast 🔊 Get our podcast on Soundcloud, Apple, and Spotify! YouTube: https://www.youtube.com/c/WeightsBiases Apple Podcasts: https://bit.ly/2WdrUvI Spotify: https://bit.ly/2SqtadF We started Weights and Biases to build tools for Machine Learning practitioners because we care a lot about the impact that Machine Learning can have in the world and we love working in the trenches with the people building these models. One of the most fun things about these building tools has been the conversations with these ML practitioners and learning about the interesting things they’re working on. This process has been so fun that we wanted to open it up to the world in the form of our new podcast called Gradient Dissent. We hope you have as much fun listening to it as we had making it! 👩🏼🚀Weights and Biases: We’re always free for academics and open source projects. Email carey@wandb.com with any questions or feature suggestions. - Blog: https://www.wandb.com/articles - Gallery: See what you can create with W&B - https://app.wandb.ai/gallery - Continue the conversation on our slack community - http://bit.ly/wandb-forum 🎙Host: Lukas Biewald - https://twitter.com/l2k 👩🏼💻Producer: Lavanya Shukla - https://twitter.com/lavanyaai 📹Editor: Cayla Sharp - http://caylasharp.com/
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126 قسمت
اشتراک گذاریManage episode 308148979 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
Jeremy Howard is a founding researcher at fast.ai, a research institute dedicated to making Deep Learning more accessible. Previously, he was the CEO and Founder at Enlitic, an advanced machine learning company in San Francisco, California. Howard is a faculty member at Singularity University, where he teaches data science. He is also a Young Global Leader with the World Economic Forum, and spoke at the World Economic Forum Annual Meeting 2014 on "Jobs For The Machines." Howard advised Khosla Ventures as their Data Strategist, identifying the biggest opportunities for investing in data-driven startups and mentoring their portfolio companies to build data-driven businesses. Howard was the founding CEO of two successful Australian startups, FastMail and Optimal Decisions Group. Before that, he spent eight years in management consulting, at McKinsey & Company and AT Kearney. TOPICS COVERED: 0:00 Introduction 0:52 Dad things 2:40 The story of Fast.ai 4:57 How the courses have evolved over time 9:24 Jeremy’s top down approach to teaching 13:02 From Fast.ai the course to Fast.ai the library 15:08 Designing V2 of the library from the ground up 21:44 The ingenious type dispatch system that powers Fast.ai 25:52 Were you able to realize the vision behind v2 of the library 28:05 Is it important to you that Fast.ai is used by everyone in the world, beyond the context of learning 29:37 Real world applications of Fast.ai, including animal husbandry 35:08 Staying ahead of the new developments in the field 38:50 A bias towards learning by doing 40:02 What’s next for Fast.ai 40.35 Python is not the future of Machine Learning 43:58 One underrated aspect of machine learning 45:25 Biggest challenge of machine learning in the real world Follow Jeremy on Twitter: https://twitter.com/jeremyphoward Links: Deep learning R&D & education: http://fast.ai Software: http://docs.fast.ai Book: http://up.fm/book Course: http://course.fast.ai Papers: The business impact of deep learning https://dl.acm.org/doi/10.1145/2487575.2491127 De-identification Methods for Open Health Data https://www.jmir.org/2012/1/e33/ Visit our podcasts homepage for transcripts and more episodes! www.wandb.com/podcast 🔊 Get our podcast on Soundcloud, Apple, and Spotify! YouTube: https://www.youtube.com/c/WeightsBiases Apple Podcasts: https://bit.ly/2WdrUvI Spotify: https://bit.ly/2SqtadF We started Weights and Biases to build tools for Machine Learning practitioners because we care a lot about the impact that Machine Learning can have in the world and we love working in the trenches with the people building these models. One of the most fun things about these building tools has been the conversations with these ML practitioners and learning about the interesting things they’re working on. This process has been so fun that we wanted to open it up to the world in the form of our new podcast called Gradient Dissent. We hope you have as much fun listening to it as we had making it! 👩🏼🚀Weights and Biases: We’re always free for academics and open source projects. Email carey@wandb.com with any questions or feature suggestions. - Blog: https://www.wandb.com/articles - Gallery: See what you can create with W&B - https://app.wandb.ai/gallery - Continue the conversation on our slack community - http://bit.ly/wandb-forum 🎙Host: Lukas Biewald - https://twitter.com/l2k 👩🏼💻Producer: Lavanya Shukla - https://twitter.com/lavanyaai 📹Editor: Cayla Sharp - http://caylasharp.com/
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126 قسمت
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In this episode of Gradient Dissent, Lukas Biewald talks with Jarek Kutylowski, CEO and founder of DeepL, an AI-powered translation company. Jarek shares DeepL’s journey from launching neural machine translation in 2017 to building custom data centers and how small teams can not only take on big players like Google Translate but win. They dive into what makes translation so difficult for AI, why high-quality translations still require human context, and how DeepL tailors models for enterprise use cases. They also discuss the evolution of speech translation, compute infrastructure, training on curated multilingual datasets, hallucinations in models, and why DeepL avoids fine-tuning for each individual customer. It’s a fascinating behind-the-scenes look at one of the most advanced real-world applications of deep learning. Timestamps: [00:00:00] Introducing Jarek and DeepL’s mission [00:01:46] Competing with Google Translate & LLMs [00:04:14] Pretraining vs. proprietary model strategy [00:06:47] Building GPU data centers in 2017 [00:08:09] The value of curated bilingual and monolingual data [00:09:30] How DeepL measures translation quality [00:12:27] Personalization and enterprise-specific tuning [00:14:04] Why translation demand is growing [00:16:16] ROI of incremental quality gains [00:18:20] The role of human translators in the future [00:22:48] Hallucinations in translation models [00:24:05] DeepL’s work on speech translation [00:28:22] The broader impact of global communication [00:30:32] Handling smaller languages and language pairs [00:32:25] Multi-language model consolidation [00:35:28] Engineering infrastructure for large-scale inference [00:39:23] Adapting to evolving LLM landscape & enterprise needs…
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 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
1:02:00 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:02:00
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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مشابه Gradient Dissent: Conversations on AI
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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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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Player FM - برنامه پادکست
با برنامه Player FM !
با برنامه Player FM !
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