1:02:50
Academic Discipline
AI & Machine Learning
Deep learning, language models, reinforcement learning, statistical learning theory, representation learning, and vision.
10courses86standalone talks213total lectures
Subfields
Language Models & NLP— Transformer architectures, large language models, tokenization, pretraining, alignment (RLHF), and linguistics.
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AI & ML·Conference Talk·Language Models & NLP · Yoshua Bengio · Association for Computing Machinery (ACM)
44:57
Neural Networks: Zero to Hero · Lec 7·Large Language Models (LLMs) · Andrej Karpathy · Independent / Eureka Labs
1:56:20
CS25 · Transformers United · Lec 1·Deep Learning · Ashish Vaswani, Lucas Beyer & William Fedus · Stanford University
22:43
AI & ML·Public Colloquium·Mechanistic Interpretability, Alignment & World Models · Jim Harris · National Capital Area Skeptics (NCAS)
1:28:36
1:57:45
1:12:29
47:55
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1:20:38
CS25 · Transformers United · Lec 3·Reinforcement Learning · Ashish Vaswani, Lucas Beyer & William Fedus · Stanford University
1:20:42
CS25 · Transformers United · Lec 7·Mechanistic Interpretability, Alignment & World Models · Ashish Vaswani, Lucas Beyer & William Fedus · Stanford University
59:34
Neural Networks: Zero to Hero · Lec 6·Language Models & NLP · Andrej Karpathy · Independent / Eureka Labs
56:21
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