Most learning is superficial and fades quickly. This podcast will equip you to move to learning that is durable because it is deep. Deep learning lasts because it respects the way the brain works. Inquiring minds want to know "how" and "why"—not just what!
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Gradient Dissent: Exploring Machine Learning, AI, Deep Learning, Computer Vision


Gradient Dissent is a machine learning podcast hosted by Lukas Biewald that takes you behind-the-scenes to learn how industry leaders are putting deep learning models in production at Facebook, Google, Lyft, OpenAI, and more.
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Гости подкаста — специалисты в разных сферах AI. С ними мы обсуждаем профессию AI Researcher, карьерный рост и собеседования, а также исследования в разных областях, от фундаментального AI до медицины и квантовых компьютеров.
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Long-form technical deep dives with Andrej Karpathy and Justin Johnson
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Welcome to The Deep Learning Crowd Podcast. We talk about individual journey's in the world of AI and discuss topics around Deep Learning. We discover first hand from our guests about some of the most interesting applications their companies are using right now.
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Find me on Github/Twitter/Kaggle @SamDeepLearning. Find me on LinkedIn @SamPutnam. This Podcast is supported by Enterprise Deep Learning | Cambridge/Boston | New York City | Hanover, NH | http://www.EnterpriseDeepLearning.com. Contact: Sam@EDeepLearning.com, 802-299-1240, P.O. Box 863, Hanover, NH, USA, 03755. We move deep learning to production. I teach the worldwide Deploying Deep Learning Masterclass at http://www.DeepLearningConf.com in NYC regularly and am a Deep Learning Consultant ser ...
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Most AI research today is done by elite universities and corporate labs. The pursuit of science and creativity should be a viable project for any person, from any walk of life, who is excited by that feeling of mystery and building something that grows. chloe is an end to end neural network chatbot written in PyTorch based on the transformer. Accomplishing goals through conversation is a task we can relate to, chatbots are an ideal agent through which to connect new research to our current u ...
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History is misunderstood and often maligned by outsiders as trivia collection. Learn what motivates historians and how the questions they seek to answer lead to cause-effect explanations that satisfy our curiosity. Yes, really!توسط Mike Gray
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History seems to be something you either love or hate with almost no middle ground. Names, dates, events—trivial pursuit. Is that your view of history? What if history is really the assembly of facts into a compelling narrative? Our minds love stories! Join historian Brenda Schoolfield as she narrates her journey to a pedagogy that engages students…
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Гость выпуска — Андрей Васнецов — основатель & CTO Qdrant — стартапа, который разрабатывает векторную базу данных. С Андреем обсудили: - Что такое векторные базы данных и где они применяются; - Как векторные базы данных можно использовать в ChatGPT; - В чем сложность реализации векторных баз данных; - Путь Андрея в создании стартапа Ссылки: Таймкод…
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Pedagogy is often viewed as a personal choice and untouchable—a kind of third rail. The SITS model aims to transform faculty into clear incisive thinkers who embrace transformed pedagogy in order to optimize deep learning in their students. This episode is an interview with the Track 2 faculty cohort in the Summer Institute in Teaching Science 2023…
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Gradient Dissent: Exploring Machine Learning, AI, Deep Learning, Computer Vision


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Providing Greater Access to LLMs with Brandon Duderstadt, Co-Founder and CEO of Nomic AI
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On 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 …
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The 3-legged stool is the compact embodiment of a comprehensive model of teaching and learning. In this episode we explore the development of clear thinking teachers through an interview with Dr. Timothy Tittiris, a participant in Track 1 of the Summer Institute in Teaching Science 2023.توسط Mike Gray
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Gradient Dissent: Exploring Machine Learning, AI, Deep Learning, Computer Vision


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Exploring PyTorch and Open-Source Communities with Soumith Chintala, VP/Fellow of Meta, Co-Creator of PyTorch
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On 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…
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The 3-legged stool view of teaching and learning has become three intensive summers of faculty development in the Summer Institute in Teaching Science (SITS) at Bob Jones University.توسط Michael Gray
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Deep Learning Stories


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AI Research в генетике и биоинформатике с Ольгой Кардымон
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Гость выпуска — Ольга Кардымон, научный сотрудник и руководитель группы «Биоинформатика» Института искусственного интеллекта AIRI С Ольгой обсудили: - Путь Ольги в науке: из чистой биологии до AI; - Языковые модели в работе с ДНК и белками. Почему NLP вообще подходит для изучения ДНК и белков и зачем нужна языковая модель ДНК; - Последние достижени…
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Gradient Dissent: Exploring Machine Learning, AI, Deep Learning, Computer Vision


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Advanced AI Accelerators and Processors with Andrew Feldman of Cerebras Systems
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On 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 …
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Three university faculty began a quest to reform teaching and learning at their institution. The result was a three-legged stool which has proven to be a powerful tool in faculty and curriculum development at all educational levels.توسط Mike Gray
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Gradient Dissent: Exploring Machine Learning, AI, Deep Learning, Computer Vision


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 a…
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Gradient Dissent: Exploring Machine Learning, AI, Deep Learning, Computer Vision


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 …
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Answering a question isn’t complete until there is a thorough questioning of the near-term implications and the long-term consequences. Deep understanding requires cognitive harmony between explanations, answers, implications, and consequences.توسط Michael Gray
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Gradient Dissent: Exploring Machine Learning, AI, Deep Learning, Computer Vision


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 w…
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The most powerful strategy for answering questions is asking questions. This query approach especially probes assumptions, ideas, and the relevant fact base. It sharpens thinking considerably and moves us toward deep understanding because we’ve come to know what our answer is based on.توسط Michael Gray
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Yonatan is the CEO & Co-Founder of Deci AI, a deep-learning accelerator platform for developers to build, optimize, and deploy ultra-fast models on any hardware. Yonatan has been the face of Deci and is bringing together the brightest minds around the world to build a revolutionary platform for deep learning. In our chat today we talk about Yonatan…
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Gradient Dissent: Exploring Machine Learning, AI, Deep Learning, Computer Vision


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 ho…
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Nothing is more fundamental to deep and durable learning than compelling questions. In this episode I’ll show you how to use point of view and a recognition of your motive—what you are trying to accomplish with your thinking—to craft big questions. The best questions are a quest for principles which unlock our understanding and give us the power to…
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Gradient Dissent: Exploring Machine Learning, AI, Deep Learning, Computer Vision


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Neural Network Pruning and Training with Jonathan Frankle at MosaicML
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Jonathan 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. dissertati…
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Questions are the engines that drive thinking. The better the question the deeper the resultant learning because you really care about unearthing the answer. Exploration through questioning is native learning mode—just remember your 4-year-old self—and you can go back!توسط Michael Gray
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Real thinking involves chewing on a compelling question. Powerful answers invoke cause and effect. Those answers have immediate implications as well as long-term consequences and both of those lead to actions.توسط Michael Gray
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Gradient Dissent: Exploring Machine Learning, AI, Deep Learning, Computer Vision


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. Shre…
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Thinking is driven by questions. Questions are answered through the interaction of necessary assumptions, a fact base to which thinking is accountable, and—most of all—a conceptual framework. Conceptual frameworks harness the power of patterns to look for parallels that leverage past learning to solve present problems.…
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Every area of human endeavor is an outworking of a way of thinking. We all default to a particular way of thinking, usually without recognizing it. This episode is designed to help you be intentional about where your conclusions are coming from. The core of your thinking is the combination of point-of-view, motivation (what you are trying to accomp…
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Gradient Dissent: Exploring Machine Learning, AI, Deep Learning, Computer Vision


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Sarah Catanzaro — Remembering the Lessons of the Last AI Renaissance
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Sarah Catanzaro is a General Partner at Amplify Partners, and one of the leading investors in AI and ML. Her investments include RunwayML, OctoML, and Gantry. Sarah and Lukas discuss lessons learned from the "AI renaissance" of the mid 2010s and compare the general perception of ML back then to now. Sarah also provides insights from her perspective…
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Great conversations are driven by empathetic listening that results in good questions. Good questions encourage the other person to open up and share. Good questions give the questioner an opportunity to learn from another person’s life experience. In this episode my guest, Laura from Asia, characterizes being a good questioner as showing hospitali…
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Gradient Dissent: Exploring Machine Learning, AI, Deep Learning, Computer Vision


Cristóbal Valenzuela is co-founder and CEO of Runway ML, a startup that's building the future of AI-powered content creation tools. Runway's research areas include diffusion systems for image generation. Cris gives a demo of Runway's video editing platform. Then, he shares how his interest in combining technology with creativity led to Runway, and …
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