CMU Advanced NLP Spring 2025 (20): Advanced Post-Training
This lecture (by Sean Welleck) for CMU CS 11-711, Advanced NLP covers: Supervised Fine-tuning Reward Modeling Reinforcement Learning Direct Preference Optimization
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CMU Advanced NLP Spring 2025 (21): Multimodal Modeling I
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CMU Advanced NLP Spring 2025 (11): Reinforcement Learning
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Nirupam Gupta - Robust Distributed Learning : A Quest to Learning in Untrusted Environments - 2
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CMU Advanced NLP Spring 2025 (16): Parallelism and Scaling
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Blockchain Educational Video - Smart Contract Security
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Training Sand to Think: Artificial General Intelligence & Future of Physics
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RLHF, PPO & GRPO Explained: A Top-Down Guide to LLM Policy Optimization
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CMU Advanced NLP Fall 2024 (3): Language and Sequence Modeling
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CMU Advanced NLP Spring 2026 (1): Introduction & Fundamentals
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Rotary Positional Embeddings: Combining Absolute and Relative
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CMU Advanced NLP Fall 2024 (6): Instruction Tuning
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CMU Advanced NLP Spring 2025 (19): Efficient Inference
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Visualizing transformers and attention | Talk for TNG Big Tech Day '24
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CMU Advanced NLP Fall 2024 (23): MagicPIG & Factor - Methods for Long Context LMs
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CMU Advanced NLP Fall 2024 (8): Reinforcement Learning and Human Feedback
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CMU Advanced NLP Spring 2025 (1): Introduction to NLP
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Bridging Associative Memory and Probabilistic Modeling
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