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CMU Advanced NLP 2024 (14): Ensembling and Mixture of Experts
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Classroom Contents
CMU Advanced Natural Language Processing Spring 2024
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- 1 CMU Advanced NLP 2024 (1): Introduction to NLP
- 2 CMU Advanced NLP 2024 (2): Word Representation and Text Classification
- 3 CMU Advanced NLP 2024 (3): Language Modeling
- 4 CMU Advanced NLP 2024 (4): Sequence Modeling
- 5 CMU Advanced NLP 2024 (5): Transformers
- 6 CMU Advanced NLP 2024 (6): Generation Algorithms
- 7 CMU Advanced NLP 2024 (7): Prompting
- 8 CMU Advanced NLP 2024 (8): Fine-tuning and Instruction Tuning
- 9 CMU Advanced NLP 2024 (9): Experimental Design and Human Annotation
- 10 CMU Advanced NLP 2024 (10): Retrieval and RAG
- 11 CMU Advanced NLP 2024 (11): Distillation, Quantization, and Pruning
- 12 CMU Advanced NLP 2024 (12): Reinforcement Learning
- 13 CMU Advanced NLP 2024 (13): Debugging and Interpretation
- 14 CMU Advanced NLP 2024 (14): Ensembling and Mixture of Experts
- 15 CMU Advanced NLP 2024 (15): A Tour of Modern Large Language Models
- 16 CMU Advanced NLP 2024 (17): Code Generation
- 17 CMU Advanced NLP 2024 (18): Knowledge and Language Models
- 18 CMU Advanced NLP 2024 (20): Tool Use and Language Agents
- 19 CMU Advanced NLP 2024 (21): Complex Reasoning
- 20 CMU Advanced NLP 2024 (22): Linguistics and Computational Linguistics
- 21 CMU Advanced NLP 2024 (23): Multilingual NLP
