Materials
参考课程
- karpathy/LLM101n
- https://github.com/mlabonne/llm-course
- https://huggingface.co/learn/nlp-course/chapter1/1
- 港中大（深圳）CSC 6203 Large Language Models
- https://fullstackdeeplearning.com/llm-bootcamp/spring-2023/
- https://cohere.com/llmu
- https://www.deeplearning.ai/courses/
- CS224N: Natural Language Processing with Deep Learning
- Stanford Diyi Yang CS 329X: Human-Centered LLMs
- 伯克利 LLM Agents
- 斯坦福 2022 CS324 - Large Language Models
- 斯坦福 2024 CS336: Language Modeling from Scratch
- 斯坦福 2022 CS 324 - Advances in Foundation Models
- JHU CS 601.471/671 NLP: Self-supervised Models
- JHU CS 601.771 Advances in Self-supervised Models
- JHU EN 601.468/668 Machine Translation
- CMU 2024 LLM Sytems
- CMU 2022 CS 11-711 Advanced NLP
- CMU Advanced NLP Fall 2024
- CMU Advanced NLP Spring 2024
- CMU Large Language Models: Methods and Applications / Fall 2024
- CMU 2019 Machine translation and sequence-to-sequence models
- CMU 2024 Advanced Topics in MultiModal Machine Learning
- CMU 2023 MultiModal Machine Learning
- MIT Natural Language Processing (6.806-864)
- MIT 2024 6.861* Quantitative Methods for NLP
- 普林斯顿 2024 COS 484: Natural Language Processing
- 普林斯顿 2021 COS 584: Advanced Natural Language Processing
- 普林斯顿 Danqi Chen 2024 COS 597R: Deep Dive into Large Language Models
- 普林斯顿 Danqi Chen 2022 COS 597G: Understanding Large Language Models
- 普林斯顿 COS 597F: Embodied Language Understanding
- 伯克利 2023 Natural Language Processing
- ETH Large Language Models, Spring 2024
- UT Austin CS388: Natural Language Processing (Spring 2024)
- Gatech CS 8803 - Large Language Models, Fall 2024
CSE 256: Statistical Natural Language Processing