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4:14:33EN
Lex Fridman· 9 mai 2023Podcast · 2 voixThe Next Token Is Not a Proof: Stephen Wolfram on ChatGPT and Computational TruthInvité : Stephen Wolfram · Anime : Lex FridmanIn his fourth conversation with Lex Fridman, Stephen Wolfram contrasts large language models with Wolfram|Alpha, then follows computational irreducibility from ChatGPT through observers, thermodynamics, and the three great theories of twentieth-century physics.Modèles et entraînementPhilosophyAI research+3
4 diapositives9:58EN
Matthew Berman· 26 avr. 2023HuggingChat’s 2023 Debut: Testing Writing, Reasoning and Python CodeMatthew Berman · Forward FutureMatthew Berman tries the early OpenAssistant-powered HuggingChat on writing, arithmetic, logic and a Snake game, then compares a few outputs with GPT-3.5 and GPT-4. The results illustrate both promise and limitations in this small historical test.Open-weight modelsBenchmarksModèles et entraînement+2
Diapositives5:47EN
Matthew Berman· 19 avr. 2023Sam Altman on Scaling AI Models: Matthew Berman Examines OpenAI’s 2023 DirectionMatthew Berman · Forward FutureA 2023 discussion of model scaling, possible ways to improve GPT-4 and the safety priorities OpenAI described at the time.Scaling LawsOpenAIModèles et entraînement+2
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No Priors: AI, Machine Learning, Tech, & Startups· 6 avr. 2023Podcast · 2 voixA 6-Billion-Parameter Clone of ChatGPT’s Core TrickAnime : Sarah Guo, Elad GilDatabricks CTO Matei Zaharia tells Sarah Guo and Elad Gil how Dolly learned instruction-following on fifty times less data than GPT-3 — and why he would rather look facts up than bake them into a trillion-parameter network.Modèles et entraînementOpen-weight modelsFine-tuning+3
5 diapositives6:24EN
Matthew Berman· 6 avr. 2023BloombergGPT: Mixing Financial and General Data for a Language ModelMatthew Berman · Forward FutureMatthew Berman examines the 2023 finance-focused research model, its training corpus, evaluation and decision not to release weights.IA en financeModèles et entraînementÉvaluations+1
Diapositives7:53EN
Matthew Berman· 4 avr. 2023HuggingGPT: Using a Language Model to Coordinate AI ToolsMatthew Berman · Forward FutureMatthew Berman explains a research system that routes multimodal tasks to specialist models using a language model as controller.Agent orchestrationMultimodal AIModèles et entraînement+1
5 diapositives8:05EN
Matthew Berman· 29 mars 2023A 2023 Guide to Running the Original GPT4All Model LocallyMatthew Berman · Forward FutureMatthew Berman demonstrates an early CPU-based GPT4All release, its terminal installation and the resources available for fine-tuning.Open-weight modelsModèles et entraînementInfrastructure et déploiement
3 diapositives6:50EN
Matthew Berman· 19 mars 2023Running LLaMA and Alpaca Locally: A 2023 Dalai TutorialMatthew Berman · Forward FutureMatthew Berman demonstrates an early local-model setup on a MacBook Air and explains the settings that control generation.Local inferenceModèles et entraînementFine-tuning+1
5 diapositives7:55EN
Matthew Berman· 20 févr. 2023How to Train a Custom Image Model in Leonardo.aiMatthew Berman · Forward FutureMatthew Berman walks through Leonardo.ai’s 2023 model galleries, training-set guidance, and custom model workflow, then shares results from several experiments.Generative mediaModèles et entraînement
8 diapositives1:03:29ZH
跟李沐学AI· 12 janv. 2023多模态论文串讲:BLIP、CoCa 与 BEiT-3从图文数据清理到统一预训练,梳理三种视觉语言模型的结构、目标函数与相互联系。Multimodal AIModèles et entraînementData quality & curation
6 diapositives1:07:10ZH
跟李沐学AI· 29 déc. 2022InstructGPT 论文精读:从人工反馈到语言模型对齐从监督微调、奖励模型到 PPO,梳理 InstructGPT 的训练流程、实验结果与局限。Reinforcement LearningModèles et entraînement
3:28:47EN
Lex Fridman· 29 oct. 2022Podcast · 2 voixKarpathy Calls Trained Neural Nets Complicated Alien ArtifactsInvité : Andrej Karpathy · Anime : Lex FridmanOn Lex Fridman's podcast, Andrej Karpathy refuses the brain analogy, walks the Fermi paradox through Nick Lane's chemistry, and treats the Transformer as a general-purpose differentiable computer.Modèles et entraînementAGIAutonomous Driving+3
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Lex Fridman· 26 juil. 2022Podcast · 2 voixGato Is Only the BeginningInvité : Oriol Vinyals · Anime : Lex FridmanDeepMind's Oriol Vinyals talks with Lex Fridman about generalist agents, thrown-away weights, and whether human-level AGI arrives in his lifetime.Modèles et entraînementAGIAI research+3
2:10:39EN
Lex Fridman· 1 juil. 2022Podcast · 2 voixDemis Hassabis: Solve Intelligence, Then Solve Everything ElseInvité : Demis Hassabis · Anime : Lex FridmanThe DeepMind CEO tells Lex Fridman why the Turing Test is the wrong exam, how AlphaFold rewrote biology, and why the quiet radio sky suggests we are probably alone.Modèles et entraînementAI researchAGI+3
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Lex Fridman· 22 janv. 2022Podcast · 2 voixA Teenager Learns to Drive in Twenty Hours. A Car Still Cannot.Invité : Yann Lecun · Anime : Lex FridmanYann LeCun tells Lex Fridman why self-supervised world models are the missing dark matter of intelligence, and why machines are not even at the level of a house cat.Modèles et entraînementWorld modelsComputer Vision+3
2:31:57EN
Lex Fridman· 20 sept. 2021Podcast · 2 voixJay McClelland on How Thought Emerges From Neural NetworksInvité : Jay McClelland · Anime : Lex FridmanThe Stanford cognitive scientist talks with Lex Fridman about connectionism, backpropagation, David Rumelhart, and why intuition discovers what logic later proves.Modèles et entraînementFondamentaux du MLDeep Learning+3
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Lex Fridman· 29 août 2021Podcast · 2 voixThe Self Is a GPT Prompt: Wojciech Zaremba on Consciousness, Codex, and Fermi's SilenceInvité : Wojciech Zaremba · Anime : Lex FridmanOpenAI co-founder Wojciech Zaremba tells Lex Fridman he thinks we might be alone in the universe — and that GPT-3, Codex, and a one-handed robot already hint at how intelligence is built.Modèles et entraînementAgents de codeFondamentaux du ML+3
2:18:29EN
Lex Fridman· 8 août 2021Podcast · 2 voixYour Cortex Is 150,000 Brains Voting on a Coffee CupInvité : Jeff Hawkins · Anime : Lex FridmanJeff Hawkins tells Lex Fridman that intelligence is learning a model of the world, the neocortex is tens of thousands of independent maps that vote, and the fastest path to machine intelligence is reverse-engineering that sheet.Modèles et entraînementNeuroscience & AIFondamentaux du ML+3
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Lex Fridman· 31 juil. 2021Podcast · 2 voixThe Fallacy of the Successful First StepInvité : Ishan Misra · Anime : Lex FridmanBerkeley's Jitendra Malik explains why computer vision still looks easy, why fully autonomous driving is not near, and what children know that today's networks do not.Modèles et entraînementComputer VisionMultimodal AI+3
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Lex Fridman· 19 avr. 2021Podcast · 2 voixIf You Reran Earth a Million Times, Would Anything Like Us Appear?Invité : Risto Miikkulainen · Anime : Lex FridmanRisto Miikkulainen on neuroevolution, hyena raids, basil that never sleeps, and why variation-plus-selection still finds solutions backpropagation cannot see.Modèles et entraînementFondamentaux du MLAI research+3
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Lex Fridman· 12 déc. 2020Podcast · 2 voixMichael Littman isn’t waiting for a runaway god. He’s watching us.Invité : Michael Littman · Anime : Lex FridmanThe Brown reinforcement-learning researcher tells Lex Fridman why accidental superintelligence feels like a 747 assembling itself — and why social media, rote language, and theory of mind worry him more.Modèles et entraînementReinforcement LearningAGI+3
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Lex Fridman· 14 août 2020Podcast · 2 voixYou Might Have to Understand the World to Understand the Letter AInvité : Dileep George · Anime : Lex FridmanDileep George on recursive cortical networks, why a five-year-old can read any new CAPTCHA, and what the Wright brothers actually learned from birds.Modèles et entraînementNeuroscience & AIWorld models+3
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Lex Fridman· 21 juil. 2020Podcast · 2 voixThe Fallacy of the Successful First Step: Jitendra Malik on Why Seeing Still Isn't SolvedInvité : Jitendra Malik · Anime : Lex FridmanBerkeley's Jitendra Malik tells Lex Fridman why computer vision keeps underestimating itself, why full self-driving still needs cognition, and why vision is the parent of language.Modèles et entraînementVision et vidéoAutonomous Driving+3
1:37:31EN
Lex Fridman· 14 juil. 2020Podcast · 2 voixThe Robot That Brought the Beer Was Being TeleoperatedInvité : Sergey Levine · Anime : Lex FridmanSergey Levine tells Lex Fridman why hardware is almost closed, why common sense has to be lived, and why offline reinforcement learning is the missing on-ramp from logs to robots that keep getting better.Modèles et entraînementRoboticsReinforcement Learning+3
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