huangjia2019/llm-gpt

From classic NLP to modern LLMs: building language models step by step. 异步图书:《 GPT图解 大模型是怎样构建的》- 这套代码是AI Coder出现之前,自己用纯手工搭建的一套简单有效的NLP经典算法集合。在大语言模型推动的AI Coder兴起之后,很少有机会再创作这么有“手工风”的代码了,不知道这是值得开心还是值得遗憾的事情。

40
/ 100
Emerging

Implements foundational NLP algorithms and transformer architecture components from scratch, including tokenization, embeddings, attention mechanisms, and decoding strategies, designed as hands-coded educational implementations rather than production frameworks. Structured as a companion to the "GPT图解" textbook and video course, progressing through classical NLP techniques toward modern large language model construction with emphasis on understanding core principles through direct implementation.

194 stars. No commits in the last 6 months.

No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 22 / 25

How are scores calculated?

Stars

194

Forks

57

Language

Jupyter Notebook

License

Last pushed

Mar 26, 2024

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/llm-tools/huangjia2019/llm-gpt"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.