AI & Machine Learning

Deep learning, language models, reinforcement learning, statistical learning theory, representation learning, and vision.

8 courses · 111 standalone talks · 283 lectures

All AI & ML Language Models & NLP (114)Deep Learning (87)Statistical Learning & Causality (60)Algorithms & Data Structures (43)Reinforcement Learning (38)Complex Systems & Scaling (21)Neuroscience & Cognition (19)Probability & Information Theory (17)machine learning (15)Moral & Political Philosophy (14)

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Chapters · Duration

On the Emergence of Representational Geometry from Natural Language Statistics

On the Emergence of Representational Geometry from Natural Language Statistics

AI & ML·Research Seminar · Yasaman Bahri · Harvard University

Yasaman Bahri Harvard University

1:08:42

Atomic Facts to Structured Knowledge: Rethinking Unlearning & Jailbreaking in Large Language Models

Atomic Facts to Structured Knowledge: Rethinking Unlearning & Jailbreaking in Large Language Models

AI & ML·Research Seminar · Rongzhe Wei · Google Research & TechTalks

Rongzhe Wei Google Research & TechTalks

56:22

Enhanced and Efficient Reasoning in Large Language Models (SIMONS-TCS-ML)

Enhanced and Efficient Reasoning in Large Language Models (SIMONS-TCS-ML)

SIMONS-TCS-ML · Lec 19 · Les Valiant · Simons Institute (UC Berkeley)

Les Valiant Simons Institute (UC Berkeley)

36:16

Training Sand to Think: Artificial General Intelligence & Future of Physics

Training Sand to Think: Artificial General Intelligence & Future of Physics

AI & ML·Research Seminar · Adam Brown · Perimeter Institute

Adam Brown Perimeter Institute

54:37

Speculations on Test-Time Scaling for Large Language Models (o1)

Speculations on Test-Time Scaling for Large Language Models (o1)

AI & ML·Research Seminar · Sasha Rush · Cornell University

Sasha Rush Cornell University

47:55

Marin: An Open Lab For Frontier AI

Marin: An Open Lab For Frontier AI

AI & ML·Research Seminar · Percy Liang · Stanford University

Percy Liang Stanford University

1:03:56

Large Language Models and Concepts in Natural Language

Large Language Models and Concepts in Natural Language

AI & ML·Research Seminar · Ning Shi, David Basil · Alberta Machine Intelligence Institute (Amii)

Ning Shi, David Basil Alberta Machine Intelligence Institute (Amii)

1:01:03

How AI is Changing Programming

How AI is Changing Programming

Systems & CS·Standalone Lecture · John Crepezzi · Jane Street

John Crepezzi Jane Street

1:48:29

Mythbusting AI: Understanding Large Language Models and Their Limitations

Mythbusting AI: Understanding Large Language Models and Their Limitations

AI & ML·Public Colloquium · Jim Harris · National Capital Area Skeptics (NCAS)

Jim Harris National Capital Area Skeptics (NCAS)

1:28:36

Are LLMs Actually Intelligent? Meaning, World Models and Intent. Part 2

Are LLMs Actually Intelligent? Meaning, World Models and Intent. Part 2

AI & ML·Public Colloquium · Duke University

Duke University

52:24

Are Large Language Models Actually Intelligent? Part 1

Are Large Language Models Actually Intelligent? Part 1

Philosophy·Public Colloquium · Duke University

Duke University

49:18

Evaluating Probabilistic Decision Making by LLMs: A Decision-Theoretic Framework and Application (SIMONS-ECON)

Evaluating Probabilistic Decision Making by LLMs: A Decision-Theoretic Framework and Application (SIMONS-ECON)

SIMONS-ECON · Lec 7 · Bryan Wilder · Simons Institute (UC Berkeley)

Bryan Wilder Simons Institute (UC Berkeley)

32:16

LLM-Guided Reinforcement Learning for Mastery Learning: Large-Scale Field Evidence (SIMONS-ECON)

LLM-Guided Reinforcement Learning for Mastery Learning: Large-Scale Field Evidence (SIMONS-ECON)

SIMONS-ECON · Lec 2 · Hamsa Bastani · Simons Institute (UC Berkeley)

Hamsa Bastani Simons Institute (UC Berkeley)

35:06

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