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GenAI_Agents 是用 Jupyter Notebook 编写的 AI 工具，用于大模型与智能体应用开发。
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
hemansnation / AI-Engineer-Headquarters
AI-Engineer-Headquarters
A collection of scientific methods, processes, algorithms, and systems to build stories & models.
AI-Engineer-Headquarters 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。
目前累计 3.8k star、704 fork，主要语言为 Jupyter Notebook，项目始于 2022 年。最近状态：近一个月有提交。适合：想补齐某块知识的开发者。
中文介绍优先采用本站人工维护条目；无维护条目时依据 GitHub 公开字段（语言、主题、星标、提交时间）自动生成，未经项目方确认，不构成选型结论。hemansnation/AI-Engineer-Headquarters 是一个以 Jupyter Notebook 为主的开源项目，目前累计 3.8k star、704 fork，近 30 天内有提交。主要方向：人工智能、ai-agents、aiengineering、data-structures-and-algorithms、深度学习、langchain。
依据 GitHub 公开字段（语言、主题、星标、提交时间）自动生成，未经人工逐项核实。人工智能ai-agentsaiengineeringdata-structures-and-algorithms深度学习langchainlanggraph大模型llm-evaluationllm-inferencellm-securitymachine-learning
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AIMLInterviews 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅，主打功能完整。
A Comprehensive Guide for Generative AI, Agentic AI, Multimodal AI, Physical AI Interviews. Proven Formula for multiple FAANG offers and more
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llama-cookbook 是用 Jupyter Notebook 编写的 AI 工具，用于人工智能方向的建模与推理。
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you …
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RAG_Techniques 是用 Jupyter Notebook 编写的 AI 工具，用于大模型与智能体应用开发。
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutor…
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Prompt_Engineering 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.
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agents-towards-production 是用 Jupyter Notebook 编写的 AI 工具，用于大模型与智能体应用开发，主打适合生产环境。
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.