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Academic Discipline

AI & Machine Learning

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

10courses·86standalone talks·213total 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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On the Emergence of Representational Geometry from Natural Language Statistics

On the Emergence of Representational Geometry from Natural Language Statistics

AI & ML·Research Seminar·Complex Systems & Scaling · Yasaman Bahri · Harvard University

Harvard University

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1:08:42

More categories

Systems & CS (432)Mathematics (428)Physics & Cosmology (404)History & Humanities (376)Philosophy & Ethics (264)Biology & Neuroscience (281)Economics & Finance (336)Algorithms & Theory (339)Engineering & Robotics (209)

Complex Systems & Scaling · Language Models & NLP

1