NLP-learning-path

Dr. Leo Du suggested that I record what I learned on GitHub so that I can review it again in my spare time in the future.

Name		Name	Last commit message	Last commit date
Week 10_ GPT-3		Week 10_ GPT-3
Week 11_ prompting for few-shot learning		Week 11_ prompting for few-shot learning
Week 12_ Prompting as parameter-efficient fine-tuning, In-context learning		Week 12_ Prompting as parameter-efficient fine-tuning, In-context learning
Week 13_LLM Reasoning & Knowledge		Week 13_LLM Reasoning & Knowledge
Week 14_ Data used to train LLMs		Week 14_ Data used to train LLMs
Week 15_ Sparse Models		Week 15_ Sparse Models
Week 2_ Word Vectors, Word Senses, and Neural Classifiers		Week 2_ Word Vectors, Word Senses, and Neural Classifiers
Week 3_ Neural network learning_ Gradients by hand (matrix calculus) and the backpropagation algorithm		Week 3_ Neural network learning_ Gradients by hand (matrix calculus) and the backpropagation algorithm
Week 4_ Language Models and Recurrent Neural Networks		Week 4_ Language Models and Recurrent Neural Networks
Week 5_ Simple and LSTM Recurrent Neural Networks		Week 5_ Simple and LSTM Recurrent Neural Networks
Week 6_ Machine Translation, Sequence-to-Sequence and Attention		Week 6_ Machine Translation, Sequence-to-Sequence and Attention
Week 7_ Transformers		Week 7_ Transformers
Week 8_ bert(encoder-only models)		Week 8_ bert(encoder-only models)
Week 9_ T5 (encoder-decoder models)		Week 9_ T5 (encoder-decoder models)
week 1		week 1
week 16		week 16
一些小记录		一些小记录
.gitattributes		.gitattributes
README.md		README.md

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