Academic Discipline

AI & Machine Learning

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

10courses86standalone talks213total lectures

Subfields

All AI & ML213 Deep Learning80 Language Models & NLP73 Reinforcement Learning35 Statistical Learning & Causality35 Computer Vision & Graphics28 Mechanistic Interpretability, Alignment & World Models27 Active Inference, Cybernetics & Artificial Life2

Language Models & NLP— Transformer architectures, large language models, tokenization, pretraining, alignment (RLHF), and linguistics.

6 topics

All Language Models & NLP Large Language Models (LLMs)41 Transformers & Attention29 Backtracking Search2 Constraint Satisfaction2 Depth-First Search2 Logistic Regression2

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Deep Dive into Large Language Models: Pretraining to RLHF

Deep Dive into Large Language Models: Pretraining to RLHF

AI & ML·Standalone Lecture·Reinforcement Learning · Andrej Karpathy · Independent / Eureka Labs

Andrej Karpathy

Independent / Eureka Labs

3:31:23

Decision Transformer: Reinforcement Learning via Sequence Modeling

Decision Transformer: Reinforcement Learning via Sequence Modeling

CS25 · Transformers United · Lec 3·Reinforcement Learning · Ashish Vaswani, Lucas Beyer & William Fedus · Stanford University

Ashish Vaswani&Lucas Beyer

Stanford University

1:20:42

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