CMU Advanced NLP 2024 (6): Generation Algorithms
This lecture (by Amanda Bertsch) for CMU CS 11-711, Advanced NLP (Spring 2024) covers: Sampling from LMs, beam search and variants Minimum Bayes Risk Constrained decoding Human-in-the-loop decoding Class Site: https://phontron.com/class/anlp2024/
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CMU Advanced NLP Fall 2024 (6): Instruction Tuning
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CMU Advanced NLP Spring 2025 (7): Decoding Algorithms
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CMU Advanced NLP Fall 2024 (22): From Decoding to Meta Generation Inference Time Algorithms for LMs
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CMU Advanced NLP Fall 2024 (10): Retrieval and RAG
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CMU Advanced NLP Spring 2025 (6): Pretraining
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CMU Advanced NLP Fall 2024 (23): MagicPIG & Factor - Methods for Long Context LMs
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Flow Matching for Generative Modeling (Paper Explained)
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CMU LLM Inference (4): Beam Search and Variants
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CMU Advanced NLP Spring 2025 (16): Parallelism and Scaling
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CMU Advanced NLP Spring 2025 (11): Reinforcement Learning
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CMU LLM Inference (1): Introduction to Language Models and Inference
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CMU Advanced NLP Fall 2024 (20): Multilingual NLP
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CMU Advanced NLP Spring 2025 (15): Quantization (Guest: Tim Dettmers)
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