Making artificial intelligence practical, productive & accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, GANs, MLOps, AIOps, LLMs & more). The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the lates ...
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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Sam Charrington
Machine learning and artificial intelligence are dramatically changing the way businesses operate and people live. The TWIML AI Podcast brings the top minds and ideas from the world of ML and AI to a broad and influential community of ML/AI researchers, data scientists, engineers and tech-savvy business and IT leaders. Hosted by Sam Charrington, a sought after industry analyst, speaker, commentator and thought leader. Technologies covered include machine learning, artificial intelligence, de ...
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Machine Learning is growing in leaps and bounds both in capability and adoption. Listen to our experts discuss the ideas and fundamentals needed to succeed as a Machine Learning Engineer. Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.
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Welcome! We engage in fascinating discussions with pre-eminent figures in the AI field. Our flagship show covers current affairs in AI, cognitive science, neuroscience and philosophy of mind with in-depth analysis. Our approach is unrivalled in terms of scope and rigour – we believe in intellectual diversity in AI, and we touch on all of the main ideas in the field with the hype surgically removed. MLST is run by Tim Scarfe, Ph.D (https://www.linkedin.com/in/ecsquizor/) and features regular ...
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AI Chat is the podcast where we dive into the world of ChatGPT, cutting-edge AI news and its impact on our daily lives. With in-depth discussions and interviews with leading experts in the field, we'll explore the latest advancements in language models, machine learning, and more. From its practical applications to its ethical considerations, AI Chat will keep you informed and entertained on the exciting developments in the world of AI. Tune in to stay ahead of the curve on the latest techno ...
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Это подкаст о машинном обучении от неспециалиста для неспециалистов. Буду рассказывать о развитии индустрии, проводить ликбез, объяснять терминологию и профессиональные жаргонизмы, общаться с профессионалами из индустрии Искусственного Интеллекта. Я сам не так давно начал погружаться в эту тему и по мере своего развития буду делиться своим пониманием этой интересной и перспективной области знаний. Почта для обратной связи: kms101@yandex.ru Сообщество подкаста в ВК: https://vk.com/mlpodcast Т ...
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Individual topics and concepts from AI ML DL made simple using Notebook LM. From Brian Carter. https://keynotespeakerbrian.com/
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Machine Learning Bits is a podcast that shares reflections and facets of artificial intelligence and machine learning.
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Machine learning audio course, teaching the fundamentals of machine learning and artificial intelligence. It covers intuition, models (shallow and deep), math, languages, frameworks, etc. Where your other ML resources provide the trees, I provide the forest. Consider MLG your syllabus, with highly-curated resources for each episode's details at ocdevel.com. Audio is a great supplement during exercise, commute, chores, etc.
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Machine learning papers read out to you.
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A course at Coursera Join for Free from HSNCB
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The Machine Learning podcast by edureka! will talk about what is Machine Learning, types of Machine learning and Machine Learning Algorithms. You will also get to know enough reasons for learning Machine Learning. Website: https://www.edureka.co/masters-program/machine-learning-engineer-training Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.
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Learn the latest machine learning updates in the tech world.
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ClusterOne is the best AI platform for distributed machine learning. It is developed with an aim to help machine learning teams in development of complex AI applications. For more detail, visit: https://clusterone.com/distributed-machine-learning/
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Aprenda comigo no dia-a-dia trabalhando com Data Science e Machine Learning. https://www.mariofilho.com
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Short, simple summaries of machine learning topics, to help you prepare for exams, interviews, reading the latest papers, or just a quick brush up. In less than two minutes, we'll cover the most obscure jargon and complex topics in machine learning. For more details, including small animated presentations, please visit erikpartridge.com. Please do join the conversation on Twitter for corrections, conversations, support and more at #mlbytes
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Machine Learning Archives - Software Engineering Daily
Machine Learning Archives - Software Engineering Daily
Machine learning and data science episodes of Software Engineering Daily.
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This is a machine-learning-focused Podcast, where we interview people in the field of Artificial Intelligence and discuss interesting technical topics of Machine Learning. In the episodes, we focus on business-related use-cases (especially with Deep Learning ) and we also try to bring some technical white papers to the ground, not forgetting on the way that there are always some people behind the technology, so we try to understand their motivation and drive.
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This podcast helps Machine Learning Engineers become the best at what they do. Join host Charlie You every week as he talks to the brightest minds in data science, artificial intelligence, and software engineering to discover how they bring cutting edge research out of the lab and into products that people love. You'll learn the skills, tools, and best practices you can use to build better ML systems and accelerate your career in this flourishing new field.
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Der Podcast für Young Professionals, die wissen möchten was hinter KI, Machine Learning und Data Science steckt und wie damit gearbeitet wird. The Erium Podcast räumt mit Mythen auf, gibt Einblicke in die Welt und Algorithmen der Data Scientists und zeigt euch die Power von Machine Learning. Master the Complexity!
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VnMetric là nền tảng review đầu tiên tại Việt Nam ứng dụng công nghệ Blockchain và Machine Learning, giúp người dùng chọn được sản phẩm tốt nhất. Website VnMetric là nền tảng review: https://vnmetric.com/ CEO: Lionel Nghia Tên doanh nghiệp: VnMetric Địa chỉ: Tầng 7, 229 Tây Sơn, phường Ngã Tư Sở, quận Đống Đa, Hà Nội, Việt Nam Mã bưu điện: 100000 Số điện thoại: 024 6713 0592 Gmail: vnmetric.contact@gmail.com
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A4N — the Artificial Neural Network News Network — is a lighthearted podcast covering the latest developments in artificial intelligence, machine learning, and data science, in which we both introduce technical aspects of these advances, as well as their social implications. The intended audience is anyone interested in automation, A.I., or the future, with brief sections catering especially to professionals working in the fields of data science or software engineering.
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Welcome to the Machine Commons podcast, where we explore the various and far reaching impacts of machine learning - the software approach better known as artificial intelligence (or, AI). The world has teetered over an invisible edge, where more of our lives are governed by software that is decreasingly coded and increasingly trained - a world where our governing software 'learns'. It is the technology at the cross section of multiple advanced fields. Come hang out with Alex and Lucie, as th ...
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In this course we will explore the challenges presented when designing AI-powered services. In particular, we will take a look at Machine Learning (such as deep learning and generative adversarial networks), and how that can be used in human-centered design of digital services. This course is created for User Experience (UX) professionals, Service Designers, and Product Managers as a way to help take a human-centered approach to AI in their work. The course is also useful for developers and ...
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This podcast series was put together by data science intern Leo Elworth to spread knowledge on these hot topics to the broader community. As the buzz around data science and machine learning continues to grow, more and more people are developing a curiosity for these topics, as well as their applications to the specific field of oil and gas. Interviews with expert data scientists and geologists serve to highlight innovative problems and share entertaining anecdotes. Podcast editing assistanc ...
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Data Futurology - Leadership And Strategy in Artificial Intelligence, Machine Learning, Data Science
Felipe Flores
Artificial intelligence is a tremendously beneficial technology that's advancing at an incredibly rapid pace. As more and more organisations adopt and implement AI we find that the main challenges are not in the technology itself but in the human side, ie: the approaches, chosen problems and what's called 'the last mile', etc. That's why Data Futurology focuses on the leadership side of AI and how to get the most value from it. Join me, Felipe Flores, a Data Science executive with almost 20 ...
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This is Learning Machine. A podcast about digital marketing, content, strategy, startups, and business. If you like Mixergy, Entrepreneur on Fire, Tropical MBA, Rocketship.fm, SaaStr, Tim Ferriss show, or Startups for the Rest of Us, you will love Content and Coffee.
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In the last day of OpenAI's "12 Days of Shipmas" they dropped the hammer announcing a brand new o3 model. In the podcast I go deep! Watch on YouTube: https://youtu.be/0a1v34wp9nI Join AI Hustle on Skool: https://www.skool.com/aihustle/about Get on the AI Box Waitlist: https://aibox.ai/
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Daniel and Chris groove with Jeff Smith, Founder and CEO at CHRP.ai. Jeff describes how CHRP anonymously analyzes emotional wellness data, derived from employees’ music preferences, giving HR leaders actionable insights to improve productivity, retention, and overall morale. By monitoring key trends and identifying shifts in emotional health across…
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Why Agents Are Stupid & What We Can Do About It with Dan Jeffries - #713
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Today, we're joined by Dan Jeffries, founder and CEO of Kentauros AI to discuss the challenges currently faced by those developing advanced AI agents. We dig into how Dan defines agents and distinguishes them from other similar uses of LLM, explore various use cases for them, and dig into ways to create smarter agentic systems. Dan shared his “big …
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Combating Burnout in Machine Learning: Strategies for Balance and Collaboration - ML 178
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In this episode, Ben and Michael explore burnout, particularly in machine learning and data science. They highlight that burnout stems from exhaustion, cynicism, and inefficiency and can be caused by repetitive tasks, overwhelming workloads, or being in the wrong role. They also tackle strategies to combat burnout, including collaborating with othe…
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Neel Nanda - Mechanistic Interpretability (Sparse Autoencoders)
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Neel Nanda, a senior research scientist at Google DeepMind, leads their mechanistic interpretability team. In this extensive interview, he discusses his work trying to understand how neural networks function internally. At just 25 years old, Nanda has quickly become a prominent voice in AI research after completing his pure mathematics degree at Ca…
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#066 ML Лекс Кравецкий. AGI (ИИ общего назначения) уже здесь?!
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В гостях Лекс Кравецкий - популяризатор науки в области математики и Computer Science, исследователь искусственного интеллекта и его влияния на общество. Выпуск у нас сегодня больше философский, чем технологический, потому что иногда стоит делать остановки и рефлексировать по поводу места человека среди технологий. Можно ли сказать, что искусственн…
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Jack Selby joins us in the studio to talk about the current landscape of venture capital and artificial intelligence and what we should be looking out for in the future.Follow Jack Selby on LinkedIn: https://www.linkedin.com/in/jackselby/ Join the AIBox Waitlist: https://aibox.ai/
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The legendary Ashley Gross talks about different AI strategies she is helping companies employ to grow their businesses. Ashley on Linkedin: https://www.linkedin.com/in/theashleygross/ AI Chat YouTube Channel: https://www.youtube.com/@JaedenSchafer My Podcast Course: https://podcaststudio.com/courses/ Get on the AI Box Waitlist: https://AIBox.ai/…
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Bad news, Sora isn't cheap. But more important news we have an update on the quality! AI Chat YouTube Channel: https://www.youtube.com/@JaedenSchafer My Podcast Course: https://podcaststudio.com/courses/ Get on the AI Box Waitlist: https://AIBox.ai/ Join my AI Hustle Community: https://www.skool.com/aihustle/about…
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Today, Chris explores Shopify Magic and other AI offerings with Mike Tamir, Distinguished ML Engineer and Head of Machine Learning, and Matt Colyer, Director of Product Management for Sidekick. They talk about how Shopify uses generative AI and LLMs to enhance their products, and they take a deeper dive into Sidekick, a first-of-its-kind, AI-enable…
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Today, we're joined by Byron Cook, VP and distinguished scientist in the Automated Reasoning Group at AWS to dig into the underlying technology behind the newly announced Automated Reasoning Checks feature of Amazon Bedrock Guardrails. Automated Reasoning Checks uses mathematical proofs to help LLM users safeguard against hallucinations. We explore…
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Rishal Hurbans is the author of Grokking Artificial Intelligence Algorithms. He walks us through how to learn different Machine Learning algorithms. He also then walks us through the different types of algorithms based on different natural systems and processes. Links Kaggle: Your Machine Learning and Data Science Community Rishal Hurbans Inktober …
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xAI has now raised $12B and is closing the gap on OpenAI's $17.9B raised! My Podcast Course: https://podcaststudio.com/courses/ Discount Code: BLACKFRIDAY Get on the AI Box Waitlist: https://AIBox.ai/ Join my AI Hustle Community: https://www.skool.com/aihustle/about
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OpenAI Sam Altman says he hopes Elon won't use his political influence to harm OpenAI. Also ChatGPT is crashing if you ask it to say "David Mayer" the name of a billionaire heir. My Podcast Course: https://podcaststudio.com/courses/ Discount Code: BLACKFRIDAY Get on the AI Box Waitlist: https://AIBox.ai/ Join my AI Hustle Commun…
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Kyutai, an open science research lab, made headlines over the summer when they released their real-time speech-to-speech AI assistant (beating OpenAI to market with their teased GPT-driven speech-to-speech functionality). Alex from Kyutai joins us in this episode to discuss the research lab, their recent Moshi models, and what might be coming next …
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Watch out! Amazon is coming in hot with 4 new chat models and lots more! My Podcast Course: https://podcaststudio.com/courses/ Discount Code: BLACKFRIDAY Get on the AI Box Waitlist: https://AIBox.ai/ Join my AI Hustle Community: https://www.skool.com/aihustle/about
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Today, we're joined by Arash Behboodi, director of engineering at Qualcomm AI Research to discuss the papers and workshops Qualcomm will be presenting at this year’s NeurIPS conference. We dig into the challenges and opportunities presented by differentiable simulation in wireless systems, the sciences, and beyond. We also explore recent work that …
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You'll want to watch this episode on YouTube or Spotify as I cover the latest updates to the AI Box Platform! YouTube Video: https://youtu.be/SEE76ysqKQE Get on the AI Box Waitlist: https://AIBox.ai/
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Elon says "Grok 3.0 will be the most powerful A.l. in the world." will add all legal case data to model data. My Podcast Course: https://podcaststudio.com/courses/ Discount Code: BLACKFRIDAY Get on the AI Box Waitlist: https://AIBox.ai/ Join my AI Hustle Community: https://www.skool.com/aihustle/about…
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Sure the NYT will be happy about the extra $$$ but this is also used to help get smaller blogs and journalists paid. My Podcast Course: https://podcaststudio.com/courses/ Discount Code: BLACKFRIDAY Get on the AI Box Waitlist: https://AIBox.ai/ Join my AI Hustle Community: https://www.skool.com/aihustle/about…
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Jonas Hübotter (ETH) - Test Time Inference
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Jonas Hübotter, PhD student at ETH Zurich's Institute for Machine Learning, discusses his groundbreaking research on test-time computation and local learning. He demonstrates how smaller models can outperform larger ones by 30x through strategic test-time computation and introduces a novel paradigm combining inductive and transductive learning appr…
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Google is in for some stiff competition as ElevenLabs the kings of AI Audio are coming for their viral AI tool. My Podcast Course: https://podcaststudio.com/courses/ Discount Code: BLACKFRIDAY Get on the AI Box Waitlist: https://AIBox.ai/ Join my AI Hustle Community: https://www.skool.com/aihustle/about…
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Chris and Daniel dive into what Trump’s impending second term could mean for AI companies, model developers, and regulators, unpacking the potential shifts in policy and innovation. Next, they discuss the latest models, like Qwen, that blur the performance gap between open and closed systems. Finally, they explore new AI tools for meeting clones an…
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Crafting Data Solutions: Shrinking Pie and Leveraging Insights for Optimal Data Learning - ML 176
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In today’s episode, Michael and Ben are joined by industry expert Barzan Mozafari, the CEO and co-founder at Keebo. He delves deep into the evolving landscape of data learning and cloud optimization. They explore how understanding data distribution can lead to early detection of anomalies and how optimizing data workflows can result in significant …
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Anthropic Launches New Way for AI To Access Your Data My Podcast Course: https://podcaststudio.com/courses/ Discount Code: BLACKFRIDAY Get on the AI Box Waitlist: https://AIBox.ai/ Join my AI Hustle Community: https://www.skool.com/aihustle/about
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How AI Could Be A Mathematician's Co-Pilot by 2026 (Prof. Swarat Chaudhuri)
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Professor Swarat Chaudhuri from the University of Texas at Austin and visiting researcher at Google DeepMind discusses breakthroughs in AI reasoning, theorem proving, and mathematical discovery. Chaudhuri explains his groundbreaking work on COPRA (a GPT-based prover agent), shares insights on neurosymbolic approaches to AI. Professor Swarat Chaudhu…
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In this episode, we explore how OpenAI's latest update improves GPT's creative writing, making it more natural, engaging, and tailored to user needs. We also discuss its enhanced ability to analyze uploaded files, offering deeper insights and more thorough responses. My Podcast Course: https://podcaststudio.com/courses/ Get on the AI Box Waitlist: …
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Today, join Michael and Ben as they delve into crucial topics surrounding code security and the safe execution of machine learning models. This episode focuses on preventing accidental key leaks in notebooks, creating secure environments for code execution, and the pros and cons of various isolation methods like VMs, containers, and micro VMs. They…
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In this episode, Jaeden discusses the intersection of AI and politics, focusing on the recent appointment of Sam Altman to the transition team of San Francisco's new mayor, Daniel Lurie. The conversation explores the implications of this trend, the challenges facing San Francisco, and the potential role of tech leaders in governance. Jaeden express…
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We are at GenAI saturation, so let’s talk about scikit-learn, a long time favorite for data scientists building classifiers, time series analyzers, dimensionality reducers, and more! Scikit-learn is deployed across industry and driving a significant portion of the “AI” that is actually in production. :probabl is a new kind of company that is stewar…
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In this episode, Jaeden discusses the innovative capabilities of 11 Labs, a leading AI company specializing in voice models and conversational AI agents. He explores how users can build their own conversational agents for various applications, including customer support and restaurant orders. The conversation delves into the setup process, customiz…
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Today, we're joined by Shirley Wu, senior director of software engineering at Juniper Networks to discuss how machine learning and artificial intelligence are transforming network management. We explore various use cases where AI and ML are applied to enhance the quality, performance, and efficiency of networks across Juniper’s customers, including…
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#065 ML Авторы курса MSU.AI. Зачем учёному ML?
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Сегодня в гостях сразу 3 гостя - это авторы и преподаватели курса "Нейронные сети и их применение в научных исследованиях" в МГУ им. В.М. Ломоносова - Виктор Немченко, Сергей Колпинский и Артём Васильев. Ребята участвуют в крутейшей, на мой взгляд, инициативе - созданию учебных материалов по ML и преподаванию машинного обучения студентам, аспиранта…
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Nora Belrose - AI Development, Safety, and Meaning
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Nora Belrose, Head of Interpretability Research at EleutherAI, discusses critical challenges in AI safety and development. The conversation begins with her technical work on concept erasure in neural networks through LEACE (LEAst-squares Concept Erasure), while highlighting how neural networks' progression from simple to complex learning patterns c…
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They delve into the journeys and insights of distinguished leaders in the development world. In today's episode, Michael engages with Brian Vallelunga, the visionary CEO of Doppler. Brian shares his compelling journey from early tech innovations to leading multiple startups and eventually founding Doppler, a centralized cloud secret management tool…
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It can be frustrating to get an AI application working amazingly well 80% of the time and failing miserably the other 20%. How can you close the gap and create something that you rely on? Chris and Daniel talk through this process, behavior testing, and the flow from prototype to production in this episode. They also talk a bit about the apparent s…
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In this episode, Jaeden Schafer discusses the current challenges and developments in the AI industry, particularly focusing on the limitations faced by major players like OpenAI and Anthropic. The conversation explores the anticipated improvements in AI models, the predictions for achieving artificial general intelligence (AGI), and the role of sof…
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Why Your GPUs are underutilised for AI - CentML CEO Explains
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Prof. Gennady Pekhimenko (CEO of CentML, UofT) joins us in this *sponsored episode* to dive deep into AI system optimization and enterprise implementation. From NVIDIA's technical leadership model to the rise of open-source AI, Pekhimenko shares insights on bridging the gap between academic research and industrial applications. Learn about "dark si…
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In this episode, we explore Anthropic's recent partnership with the defense industry and its impressive new valuation of $40 billion. We discuss what this move means for AI applications in defense and the implications of such a high valuation. My Podcast Course: https://podcaststudio.com/courses/ Get on the AI Box Waitlist: https://AIBox.ai/ Jo…
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Eliezer Yudkowsky and Stephen Wolfram on AI X-risk
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Eliezer Yudkowsky and Stephen Wolfram discuss artificial intelligence and its potential existen‑ tial risks. They traversed fundamental questions about AI safety, consciousness, computational irreducibility, and the nature of intelligence. The discourse centered on Yudkowsky’s argument that advanced AI systems pose an existential threat to humanity…
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Today, we're joined by Jason Liu, freelance AI consultant, advisor, and creator of the Instructor library to discuss all things retrieval-augmented generation (RAG). We dig into the tactical and strategic challenges companies face with their RAG system, the different signs Jason looks for to identify looming problems, the issues he most commonly en…
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Introducing a novel transformer architecture, Differential Transformer, designed to improve the performance of large language models. The key innovation lies in its differential attention mechanism, which calculates attention scores as the difference between two separate softmax attention maps. This subtraction effectively cancels out irrelevant co…
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Introducing, ScienceAgentBench, a new benchmark for evaluating language agents designed to automate scientific discovery. The benchmark comprises 102 tasks extracted from 44 peer-reviewed publications across four disciplines, encompassing essential tasks in a data-driven scientific workflow such as model development, data analysis, and visualizatio…
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Both sources explain neural network pruning techniques in PyTorch. The first source, "How to Prune Neural Networks with PyTorch," provides a general overview of the pruning concept and its various methods, along with practical examples of how to implement different pruning techniques using PyTorch's built-in functions. The second source, "Pruning T…
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Peer Review and Career Development - ML 173
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In today's episode, Michael and Ben discuss peer review, specifically Michael's experiences. Michael explains his unconventional path, starting with advanced math as a child, then struggling with a math-heavy computer science program in college. He pivoted to environmental studies, focusing on side projects and extracurriculars. These projects led …
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Pattern Recognition vs True Intelligence - Francois Chollet
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Francois Chollet, a prominent AI expert and creator of ARC-AGI, discusses intelligence, consciousness, and artificial intelligence. Chollet explains that real intelligence isn't about memorizing information or having lots of knowledge - it's about being able to handle new situations effectively. This is why he believes current large language models…
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The source is a chapter from the book "Dive into Deep Learning" that explores the historical development of deep convolutional neural networks (CNNs), focusing on the foundational AlexNet architecture. The authors explain the challenges faced in training CNNs before the advent of AlexNet, including limited computing power, small datasets, and lack …
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This week, Chris is joined by Gregory Richardson, Vice President and Global Advisory CISO at BlackBerry, and Ismael Valenzuela, Vice President of Threat Research & Intelligence at BlackBerry. They address how AI is changing the threat landscape, why human defenders remain a key part of our cyber defenses, and the explain the AI standoff between cyb…
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This text is an excerpt from the "Dive into Deep Learning" book, specifically focusing on the processing of sequential data. The authors introduce the challenges of working with data that occurs in a specific order, like time series or text, and how these sequences cannot be treated as independent observations. They delve into autoregressive models…
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The Elegant Math Behind Machine Learning - Anil Ananthaswamy
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Anil Ananthaswamy is an award-winning science writer and former staff writer and deputy news editor for the London-based New Scientist magazine. Machine learning systems are making life-altering decisions for us: approving mortgage loans, determining whether a tumor is cancerous, or deciding if someone gets bail. They now influence developments and…
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