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peremartra/Large-Language-Model-Notebooks-Course

Practical course about Large Language Models.

更新:2026/10/12 05:34:04首次收录:2026/10/12 05:34:04原始来源
language
Jupyter Notebook
stars
1823
forks
450
license
MIT
homepage
https://medium.com/@peremartra/list/large-language-models-practical-course-66b4ce5943ce
source_updated_at
2026-10-11T09:51:13Z

详细说明:

Practical course about Large Language Models.

描述来源标记:原始/编辑整理

如何使用:

在 GitHub 打开仓库 peremartra/Large-Language-Model-Notebooks-Course,按 README 安装与使用。Stars:1823。

同类对比:

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MCP 官方示例服务器集合相关Model Context Protocol 官方维护的参考 MCP Server 集合。与「peremartra/Large-Language-Model-Notebooks-Course」相关,可按场景对照选用
ComfyUI相关AI 相关工具/产品:ComfyUI。与「peremartra/Large-Language-Model-Notebooks-Course」相关,可按场景对照选用
AutoGen相关AI 相关工具/产品:AutoGen。与「peremartra/Large-Language-Model-Notebooks-Course」相关,可按场景对照选用
NousResearch/hermes-agent相关The agent that grows with you与「peremartra/Large-Language-Model-Notebooks-Course」相关,可按场景对照选用
firecrawl/firecrawl相关Supercharge your AI agents with data from the web and beyond. Building the library for superintelligence. 🔥与「peremartra/Large-Language-Model-Notebooks-Course」相关,可按场景对照选用
huggingface/transformers相关🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training. 与「peremartra/Large-Language-Model-Notebooks-Course」相关,可按场景对照选用

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