AI & Machine Learning

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

10courses·88standalone talks·215total lectures

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All AI & ML215 Deep Learning81 Language Models & NLP73 Reinforcement Learning36 Statistical Learning & Causality35 Computer Vision & Graphics28 Mechanistic Interpretability, Alignment & World Models27 Active Inference, Cybernetics & Artificial Life2

Mechanistic Interpretability, Alignment & World Models— Mechanistic interpretability, sparse autoencoders, neural circuits, AI alignment, scalable oversight, and world models.

3 topics

All Mechanistic Interpretability, Alignment & World Models AI Alignment, Safety & Scalable Oversight15 World Models, Neurosymbolic AI & Program Synthesis4 Mechanistic Interpretability & Neural Circuits1

Theory of Computing · Mechanistic Interpretability, Alignment & World Models

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Governance at the Technological Frontier: Translating AI Research into Oversight Policy

AI & ML·Research Seminar·Deep Learning · Inioluwa Deborah Raji · UC Berkeley

Inioluwa Deborah Raji

UC Berkeley

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39:55

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