{"data":{"node":{"slug":"datawhalechina-llm-cookbook","name":"llm-cookbook","tagline":"面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版","github_url":"https://github.com/datawhalechina/llm-cookbook","owner":"datawhalechina","repo":"llm-cookbook","owner_avatar_url":"https://avatars.githubusercontent.com/u/46047812?v=4","primary_language":"Jupyter Notebook","stars":24544,"forks":2953,"topics":["cookbook","llm"],"archived":false,"github_pushed_at":"2025-06-12T14:48:07+00:00","maintenance_label":"Dormant","stars_delta_30d":123,"url":"https://www.graphcanon.com/tools/datawhalechina-llm-cookbook","markdown_url":"https://www.graphcanon.com/tools/datawhalechina-llm-cookbook.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/datawhalechina-llm-cookbook","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=datawhalechina-llm-cookbook"},"categories":[{"slug":"developer-tools","name":"Developer Tools","url":"https://www.graphcanon.com/categories/developer-tools","markdown_url":"https://www.graphcanon.com/categories/developer-tools.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/developer-tools"},{"slug":"llm-frameworks","name":"LLM Frameworks","url":"https://www.graphcanon.com/categories/llm-frameworks","markdown_url":"https://www.graphcanon.com/categories/llm-frameworks.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/llm-frameworks"}],"tags":[{"slug":"cookbook","name":"cookbook"},{"slug":"llm","name":"llm"}],"edges":[{"type":"successor","direction":"out","explanation":"The llm-cookbook seems like a more detailed and structured approach, building upon the concepts introduced in happy-llm with translations of advanced courses.","successor_context":{"status":"recommended","reason":"Leverages detailed structured course content to further elaborate on foundational materials."},"tool":{"slug":"datawhalechina-happy-llm","name":"happy-llm","tagline":"📚 From Zero to Building Large Models","github_url":"https://github.com/datawhalechina/happy-llm","owner":"datawhalechina","repo":"happy-llm","owner_avatar_url":"https://avatars.githubusercontent.com/u/46047812?v=4","primary_language":"Jupyter Notebook","stars":32987,"forks":3123,"topics":["agent","llm","rag"],"archived":false,"github_pushed_at":"2026-08-08T17:18:48+00:00","maintenance_label":"Active","stars_delta_30d":848,"url":"https://www.graphcanon.com/tools/datawhalechina-happy-llm","markdown_url":"https://www.graphcanon.com/tools/datawhalechina-happy-llm.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/datawhalechina-happy-llm","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=datawhalechina-happy-llm"}},{"type":"integrates_with","direction":"out","explanation":"The llm-cookbook mentions LangChain as a framework for developing applications, indicating that this cookbook provides guidance on how to use LangChain effectively.","successor_context":null,"tool":{"slug":"langchain-ai-langchain","name":"langchain","tagline":"The agent engineering platform.","github_url":"https://github.com/langchain-ai/langchain","owner":"langchain-ai","repo":"langchain","owner_avatar_url":"https://avatars.githubusercontent.com/u/126733545?v=4","primary_language":"Python","stars":143615,"forks":23930,"topics":["agents","ai","ai-agents","anthropic","chatgpt","deepagents","enterprise","framework","gemini","generative-ai","langchain","langgraph","llm","multiagent","open-source","openai","pydantic","python","rag","typescript"],"archived":false,"github_pushed_at":"2026-08-07T08:27:07+00:00","maintenance_label":"Very active","stars_delta_30d":2337,"url":"https://www.graphcanon.com/tools/langchain-ai-langchain","markdown_url":"https://www.graphcanon.com/tools/langchain-ai-langchain.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/langchain-ai-langchain","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=langchain-ai-langchain"}},{"type":"integrates_with","direction":"out","explanation":"llm-cookbook整合并复现了吴恩达大模型系列课程的中文版内容，其中包括Prompt Engineering等多个方面；而Prompt-Engineering-Guide是一个提供关于提示工程和其它相关技术全面资源的库。llm-cookbook通过包含与Prompt-Engineering-Guide相关的Prompt Engineering教程和实例，建立了二者之间的集成关系。","successor_context":null,"tool":{"slug":"dair-ai-prompt-engineering-guide","name":"Prompt-Engineering-Guide","tagline":"Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents","github_url":"https://github.com/dair-ai/Prompt-Engineering-Guide","owner":"dair-ai","repo":"Prompt-Engineering-Guide","owner_avatar_url":"https://avatars.githubusercontent.com/u/30384625?v=4","primary_language":"MDX","stars":77531,"forks":8518,"topics":["agent","agents","ai-agents","chatgpt","deep-learning","generative-ai","language-model","llms","openai","prompt-engineering","rag"],"archived":false,"github_pushed_at":"2026-03-11T20:09:13+00:00","maintenance_label":"Slowing","stars_delta_30d":829,"url":"https://www.graphcanon.com/tools/dair-ai-prompt-engineering-guide","markdown_url":"https://www.graphcanon.com/tools/dair-ai-prompt-engineering-guide.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/dair-ai-prompt-engineering-guide","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=dair-ai-prompt-engineering-guide"}},{"type":"depends_on","direction":"out","explanation":"The llm-cookbook, as a practical guide to LLMs, likely relies on the transformers library for actual model implementations and API usage examples.","successor_context":null,"tool":{"slug":"huggingface-transformers","name":"transformers","tagline":"Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models","github_url":"https://github.com/huggingface/transformers","owner":"huggingface","repo":"transformers","owner_avatar_url":"https://avatars.githubusercontent.com/u/25720743?v=4","primary_language":"Python","stars":164121,"forks":34249,"topics":["audio","deep-learning","deepseek","gemma","glm","hacktoberfest","llm","machine-learning","model-hub","natural-language-processing","nlp","pretrained-models","python","pytorch","pytorch-transformers","qwen","speech-recognition","transformer","vlm"],"archived":false,"github_pushed_at":"2026-08-15T22:28:12+00:00","maintenance_label":"Very active","stars_delta_30d":1457,"url":"https://www.graphcanon.com/tools/huggingface-transformers","markdown_url":"https://www.graphcanon.com/tools/huggingface-transformers.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/huggingface-transformers","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=huggingface-transformers"}},{"type":"related","direction":"out","explanation":"两者都是面向开发者的大模型学习资源，但'LLM Universe'主要侧重于应用开发教程，而'LLM Cookbook'更全面地涵盖了从基础入门到实践调优的全过程。","successor_context":null,"tool":{"slug":"datawhalechina-llm-universe","name":"llm-universe","tagline":"面向小白开发者的LLM应用开发教程","github_url":"https://github.com/datawhalechina/llm-universe","owner":"datawhalechina","repo":"llm-universe","owner_avatar_url":"https://avatars.githubusercontent.com/u/46047812?v=4","primary_language":"Jupyter Notebook","stars":13803,"forks":1400,"topics":["langchain","rag"],"archived":false,"github_pushed_at":"2026-07-28T13:47:59+00:00","maintenance_label":"Active","stars_delta_30d":289,"url":"https://www.graphcanon.com/tools/datawhalechina-llm-universe","markdown_url":"https://www.graphcanon.com/tools/datawhalechina-llm-universe.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/datawhalechina-llm-universe","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=datawhalechina-llm-universe"}},{"type":"alternative","direction":"out","explanation":"The llm-cookbook and mlabonne-llm-course both aim to introduce developers to LLMs through courses, but llm-cookbook specifically focuses on practical implementations and translations of Andrew Ng's large model course content.","successor_context":null,"tool":{"slug":"mlabonne-llm-course","name":"llm-course","tagline":"Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.","github_url":"https://github.com/mlabonne/llm-course","owner":"mlabonne","repo":"llm-course","owner_avatar_url":"https://avatars.githubusercontent.com/u/81252890?v=4","primary_language":null,"stars":81512,"forks":9490,"topics":["course","large-language-models","llm","machine-learning","roadmap"],"archived":false,"github_pushed_at":"2026-02-05T13:09:26+00:00","maintenance_label":"Slowing","stars_delta_30d":771,"url":"https://www.graphcanon.com/tools/mlabonne-llm-course","markdown_url":"https://www.graphcanon.com/tools/mlabonne-llm-course.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/mlabonne-llm-course","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=mlabonne-llm-course"}},{"type":"related","direction":"out","explanation":"'MLabonne LLM Course'与'LLM Cookbook'都提供关于大模型的学习路径和教程，但前者可能是英文版的资源，两者在目标人群和覆盖内容上有重叠。","successor_context":null,"tool":{"slug":"mlabonne-llm-course","name":"llm-course","tagline":"Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.","github_url":"https://github.com/mlabonne/llm-course","owner":"mlabonne","repo":"llm-course","owner_avatar_url":"https://avatars.githubusercontent.com/u/81252890?v=4","primary_language":null,"stars":81512,"forks":9490,"topics":["course","large-language-models","llm","machine-learning","roadmap"],"archived":false,"github_pushed_at":"2026-02-05T13:09:26+00:00","maintenance_label":"Slowing","stars_delta_30d":771,"url":"https://www.graphcanon.com/tools/mlabonne-llm-course","markdown_url":"https://www.graphcanon.com/tools/mlabonne-llm-course.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/mlabonne-llm-course","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=mlabonne-llm-course"}},{"type":"integrates_with","direction":"out","explanation":"llm-cookbook provides tutorials and resources covering RAG development among other areas for developers focusing on LLMs. Langchain-Chatchat is an application that uses Langchain to implement RAG functionalities with various language models, thus llm-cookbook can be said to integrate with or complement Langchain-Chatchat by offering foundational knowledge and educational content relevant to its RА","successor_context":null,"tool":{"slug":"chatchat-space-langchain-chatchat","name":"Langchain-Chatchat","tagline":"Local knowledge-based RAG and Agent app using Langchain and various LLMs","github_url":"https://github.com/chatchat-space/Langchain-Chatchat","owner":"chatchat-space","repo":"Langchain-Chatchat","owner_avatar_url":"https://avatars.githubusercontent.com/u/139558948?v=4","primary_language":"Python","stars":38522,"forks":6266,"topics":["chatbot","chatchat","chatglm","chatgpt","embedding","faiss","fastchat","gpt","knowledge-base","langchain","langchain-chatglm","llama","llm","milvus","ollama","qwen","rag","retrieval-augmented-generation","streamlit","xinference"],"archived":false,"github_pushed_at":"2025-11-10T09:27:42+00:00","maintenance_label":"Slowing","stars_delta_30d":254,"url":"https://www.graphcanon.com/tools/chatchat-space-langchain-chatchat","markdown_url":"https://www.graphcanon.com/tools/chatchat-space-langchain-chatchat.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/chatchat-space-langchain-chatchat","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=chatchat-space-langchain-chatchat"}},{"type":"related","direction":"in","explanation":"The llm-cookbook provides tutorials for developing with LLMs, and easy-dataset could serve as a tool to prepare datasets needed in those examples.","successor_context":null,"tool":{"slug":"conardli-easy-dataset","name":"easy-dataset","tagline":"A powerful tool for creating datasets for LLM fine-tuning, RAG, and evaluation","github_url":"https://github.com/ConardLi/easy-dataset","owner":"ConardLi","repo":"easy-dataset","owner_avatar_url":"https://avatars.githubusercontent.com/u/30708545?v=4","primary_language":"JavaScript","stars":14792,"forks":1523,"topics":["dataset","fine-tuning","javascript","llm","rag"],"archived":false,"github_pushed_at":"2026-05-01T15:03:32+00:00","maintenance_label":"Slowing","stars_delta_30d":125,"url":"https://www.graphcanon.com/tools/conardli-easy-dataset","markdown_url":"https://www.graphcanon.com/tools/conardli-easy-dataset.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/conardli-easy-dataset","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=conardli-easy-dataset"}},{"type":"alternative","direction":"in","explanation":"Happy-LLM and llm-cookbook both serve as guides for developers to understand and work with large language models.","successor_context":null,"tool":{"slug":"datawhalechina-happy-llm","name":"happy-llm","tagline":"📚 From Zero to Building Large Models","github_url":"https://github.com/datawhalechina/happy-llm","owner":"datawhalechina","repo":"happy-llm","owner_avatar_url":"https://avatars.githubusercontent.com/u/46047812?v=4","primary_language":"Jupyter Notebook","stars":32987,"forks":3123,"topics":["agent","llm","rag"],"archived":false,"github_pushed_at":"2026-08-08T17:18:48+00:00","maintenance_label":"Active","stars_delta_30d":848,"url":"https://www.graphcanon.com/tools/datawhalechina-happy-llm","markdown_url":"https://www.graphcanon.com/tools/datawhalechina-happy-llm.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/datawhalechina-happy-llm","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=datawhalechina-happy-llm"}},{"type":"alternative","direction":"in","explanation":"llm-universe 和 llm-cookbook 都是面向开发者的 LLM 入门教程，提供大模型应用的指导和教学，但它们在内容结构及教授方法上可能存在差异。","successor_context":null,"tool":{"slug":"datawhalechina-llm-universe","name":"llm-universe","tagline":"面向小白开发者的LLM应用开发教程","github_url":"https://github.com/datawhalechina/llm-universe","owner":"datawhalechina","repo":"llm-universe","owner_avatar_url":"https://avatars.githubusercontent.com/u/46047812?v=4","primary_language":"Jupyter Notebook","stars":13803,"forks":1400,"topics":["langchain","rag"],"archived":false,"github_pushed_at":"2026-07-28T13:47:59+00:00","maintenance_label":"Active","stars_delta_30d":289,"url":"https://www.graphcanon.com/tools/datawhalechina-llm-universe","markdown_url":"https://www.graphcanon.com/tools/datawhalechina-llm-universe.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/datawhalechina-llm-universe","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=datawhalechina-llm-universe"}},{"type":"related","direction":"in","explanation":"DataWhaleChina's LLM cookbook is a tutorial designed for developers to get started with Large Language Models, similar to the instructional nature of LLMBook-zh.github.io which aims at beginners in understanding and building knowledge on large models.","successor_context":null,"tool":{"slug":"llmbook-zh-llmbook-zh-github-io","name":"LLMBook-zh.github.io","tagline":"《大语言模型》全面介绍大模型技术的知识，适合初学者作为参考","github_url":"https://github.com/LLMBook-zh/LLMBook-zh.github.io","owner":"LLMBook-zh","repo":"LLMBook-zh.github.io","owner_avatar_url":"https://avatars.githubusercontent.com/u/167047677?v=4","primary_language":"Python","stars":4539,"forks":346,"topics":["artificial-intelligence","deep-learning","deep-neural-networks","deep-reinforcement-learning","fine-tuning","language-model","large-language-models","natural-language-processing","nlp","pretrained-models"],"archived":false,"github_pushed_at":"2025-09-02T05:29:52+00:00","maintenance_label":"Slowing","stars_delta_30d":13,"url":"https://www.graphcanon.com/tools/llmbook-zh-llmbook-zh-github-io","markdown_url":"https://www.graphcanon.com/tools/llmbook-zh-llmbook-zh-github-io.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/llmbook-zh-llmbook-zh-github-io","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=llmbook-zh-llmbook-zh-github-io"}}],"neighbours":[{"slug":"mlabonne-llm-course","name":"llm-course","tagline":"Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.","github_url":"https://github.com/mlabonne/llm-course","owner":"mlabonne","repo":"llm-course","owner_avatar_url":"https://avatars.githubusercontent.com/u/81252890?v=4","primary_language":null,"stars":81512,"forks":9490,"topics":["course","large-language-models","llm","machine-learning","roadmap"],"archived":false,"github_pushed_at":"2026-02-05T13:09:26+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/mlabonne-llm-course","markdown_url":"https://www.graphcanon.com/tools/mlabonne-llm-course.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/mlabonne-llm-course","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=mlabonne-llm-course","shared_categories":["llm-frameworks"]},{"slug":"datawhalechina-happy-llm","name":"happy-llm","tagline":"📚 From Zero to Building Large Models","github_url":"https://github.com/datawhalechina/happy-llm","owner":"datawhalechina","repo":"happy-llm","owner_avatar_url":"https://avatars.githubusercontent.com/u/46047812?v=4","primary_language":"Jupyter Notebook","stars":32987,"forks":3123,"topics":["agent","llm","rag"],"archived":false,"github_pushed_at":"2026-08-08T17:18:48+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/datawhalechina-happy-llm","markdown_url":"https://www.graphcanon.com/tools/datawhalechina-happy-llm.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/datawhalechina-happy-llm","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=datawhalechina-happy-llm","shared_categories":["llm-frameworks"]},{"slug":"handsonllm-hands-on-large-language-models","name":"Hands-On-Large-Language-Models","tagline":"Official code repo for the O'Reilly Book - 'Hands-On Large Language Models'","github_url":"https://github.com/HandsOnLLM/Hands-On-Large-Language-Models","owner":"HandsOnLLM","repo":"Hands-On-Large-Language-Models","owner_avatar_url":"https://avatars.githubusercontent.com/u/174106807?v=4","primary_language":"Jupyter Notebook","stars":28252,"forks":6531,"topics":["artificial-intelligence","book","large-language-models","llm","llms","oreilly","oreilly-books"],"archived":false,"github_pushed_at":"2026-04-24T10:20:08+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/handsonllm-hands-on-large-language-models","markdown_url":"https://www.graphcanon.com/tools/handsonllm-hands-on-large-language-models.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/handsonllm-hands-on-large-language-models","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=handsonllm-hands-on-large-language-models","shared_categories":["llm-frameworks"]},{"slug":"datawhalechina-llm-universe","name":"llm-universe","tagline":"面向小白开发者的LLM应用开发教程","github_url":"https://github.com/datawhalechina/llm-universe","owner":"datawhalechina","repo":"llm-universe","owner_avatar_url":"https://avatars.githubusercontent.com/u/46047812?v=4","primary_language":"Jupyter Notebook","stars":13803,"forks":1400,"topics":["langchain","rag"],"archived":false,"github_pushed_at":"2026-07-28T13:47:59+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/datawhalechina-llm-universe","markdown_url":"https://www.graphcanon.com/tools/datawhalechina-llm-universe.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/datawhalechina-llm-universe","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=datawhalechina-llm-universe","shared_categories":["llm-frameworks"]},{"slug":"kalyanks-nlp-llm-engineer-toolkit","name":"llm-engineer-toolkit","tagline":"A curated list of over 120 LLM libraries categorized.","github_url":"https://github.com/KalyanKS-NLP/llm-engineer-toolkit","owner":"KalyanKS-NLP","repo":"llm-engineer-toolkit","owner_avatar_url":"https://avatars.githubusercontent.com/u/202506543?v=4","primary_language":null,"stars":10767,"forks":1682,"topics":["ai-engineer","generative-ai","large-language-models","llm-engineer","llms"],"archived":false,"github_pushed_at":"2026-08-16T13:05:43+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/kalyanks-nlp-llm-engineer-toolkit","markdown_url":"https://www.graphcanon.com/tools/kalyanks-nlp-llm-engineer-toolkit.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/kalyanks-nlp-llm-engineer-toolkit","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=kalyanks-nlp-llm-engineer-toolkit","shared_categories":["developer-tools"]},{"slug":"mooler0410-llmspracticalguide","name":"LLMsPracticalGuide","tagline":"A curated list of practical guide resources of LLMs","github_url":"https://github.com/Mooler0410/LLMsPracticalGuide","owner":"Mooler0410","repo":"LLMsPracticalGuide","owner_avatar_url":"https://avatars.githubusercontent.com/u/37475129?v=4","primary_language":null,"stars":10196,"forks":788,"topics":["large-language-models","natural-language-processing","nlp","survey"],"archived":false,"github_pushed_at":"2026-04-08T18:26:44+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/mooler0410-llmspracticalguide","markdown_url":"https://www.graphcanon.com/tools/mooler0410-llmspracticalguide.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/mooler0410-llmspracticalguide","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=mooler0410-llmspracticalguide","shared_categories":["llm-frameworks"]},{"slug":"luhengshiwo-llmforeverybody","name":"LLMForEverybody","tagline":"LLM knowledge sharing for everyone, essential reading before big model interviews","github_url":"https://github.com/luhengshiwo/LLMForEverybody","owner":"luhengshiwo","repo":"LLMForEverybody","owner_avatar_url":"https://avatars.githubusercontent.com/u/13251733?v=4","primary_language":"Jupyter Notebook","stars":7167,"forks":662,"topics":["agent","interview-practice","interview-questions","learnllm","llm","rag"],"archived":false,"github_pushed_at":"2026-08-17T02:41:01+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/luhengshiwo-llmforeverybody","markdown_url":"https://www.graphcanon.com/tools/luhengshiwo-llmforeverybody.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/luhengshiwo-llmforeverybody","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=luhengshiwo-llmforeverybody","shared_categories":["llm-frameworks"]},{"slug":"packtpublishing-llm-engineers-handbook","name":"LLM-Engineers-Handbook","tagline":"LLM's practical guide: From fundamentals to deploying advanced LLM and RAG apps","github_url":"https://github.com/PacktPublishing/LLM-Engineers-Handbook","owner":"PacktPublishing","repo":"LLM-Engineers-Handbook","owner_avatar_url":"https://avatars.githubusercontent.com/u/10974906?v=4","primary_language":"Python","stars":5286,"forks":1280,"topics":["aws","fine-tuning-llm","genai","llm","llm-evaluation","llmops","ml-system-design","mlops","rag"],"archived":false,"github_pushed_at":"2026-04-22T08:25:03+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/packtpublishing-llm-engineers-handbook","markdown_url":"https://www.graphcanon.com/tools/packtpublishing-llm-engineers-handbook.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/packtpublishing-llm-engineers-handbook","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=packtpublishing-llm-engineers-handbook","shared_categories":["developer-tools","llm-frameworks"]},{"slug":"llmbook-zh-llmbook-zh-github-io","name":"LLMBook-zh.github.io","tagline":"《大语言模型》全面介绍大模型技术的知识，适合初学者作为参考","github_url":"https://github.com/LLMBook-zh/LLMBook-zh.github.io","owner":"LLMBook-zh","repo":"LLMBook-zh.github.io","owner_avatar_url":"https://avatars.githubusercontent.com/u/167047677?v=4","primary_language":"Python","stars":4539,"forks":346,"topics":["artificial-intelligence","deep-learning","deep-neural-networks","deep-reinforcement-learning","fine-tuning","language-model","large-language-models","natural-language-processing","nlp","pretrained-models"],"archived":false,"github_pushed_at":"2025-09-02T05:29:52+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/llmbook-zh-llmbook-zh-github-io","markdown_url":"https://www.graphcanon.com/tools/llmbook-zh-llmbook-zh-github-io.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/llmbook-zh-llmbook-zh-github-io","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=llmbook-zh-llmbook-zh-github-io","shared_categories":["developer-tools","llm-frameworks"]},{"slug":"decodingai-magazine-llm-twin-course","name":"llm-twin-course","tagline":"Learn free end-to-end production LLM & RAG system with best practices","github_url":"https://github.com/decodingai-magazine/llm-twin-course","owner":"decodingai-magazine","repo":"llm-twin-course","owner_avatar_url":"https://avatars.githubusercontent.com/u/153360176?v=4","primary_language":"Python","stars":4383,"forks":732,"topics":["aws","bytewax","comet-ml","course","docker","generative-ai","infrastructure-as-code","large-language-models","llmops","machine-learning-engineering","ml-system-design","mlops","pulumi","qdrant","qwak","rag","superlinked"],"archived":false,"github_pushed_at":"2026-04-20T10:53:45+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/decodingai-magazine-llm-twin-course","markdown_url":"https://www.graphcanon.com/tools/decodingai-magazine-llm-twin-course.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/decodingai-magazine-llm-twin-course","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=decodingai-magazine-llm-twin-course","shared_categories":["llm-frameworks"]},{"slug":"opencoder-llm-opencoder-llm","name":"OpenCoder-llm","tagline":"The Open Cookbook for Top-Tier Code Large Language Models","github_url":"https://github.com/OpenCoder-llm/OpenCoder-llm","owner":"OpenCoder-llm","repo":"OpenCoder-llm","owner_avatar_url":"https://avatars.githubusercontent.com/u/186387526?v=4","primary_language":"Python","stars":2103,"forks":125,"topics":[],"archived":false,"github_pushed_at":"2024-12-08T16:46:00+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/opencoder-llm-opencoder-llm","markdown_url":"https://www.graphcanon.com/tools/opencoder-llm-opencoder-llm.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/opencoder-llm-opencoder-llm","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=opencoder-llm-opencoder-llm","shared_categories":["llm-frameworks"]},{"slug":"peremartra-large-language-model-notebooks-course","name":"Large-Language-Model-Notebooks-Course","tagline":"Practical course about Large Language Models","github_url":"https://github.com/peremartra/Large-Language-Model-Notebooks-Course","owner":"peremartra","repo":"Large-Language-Model-Notebooks-Course","owner_avatar_url":"https://avatars.githubusercontent.com/u/7319142?v=4","primary_language":"Jupyter Notebook","stars":1821,"forks":447,"topics":["chatbots","fine-tuning-llm","hf","huggingface","langchain","large-language-models","peft-fine-tuning-llm","pruning","transformers","vector-database"],"archived":false,"github_pushed_at":"2026-05-28T06:32:56+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/peremartra-large-language-model-notebooks-course","markdown_url":"https://www.graphcanon.com/tools/peremartra-large-language-model-notebooks-course.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/peremartra-large-language-model-notebooks-course","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=peremartra-large-language-model-notebooks-course","shared_categories":["llm-frameworks"]}]}}