Обзор

这是一个可供 AI 助手与 AI Agent 直接连接、检索和引用的 Andrej Karpathy（安德烈·卡帕西）AI 专题知识库。收录 12 篇英文原文与完整逐字稿，覆盖大语言模型（LLM）、ChatGPT、GPT 与 Transformer、神经网络与反向传播、micrograd、makemore、GPT Tokenizer、GPT-2 复现，以及 Software 3.0、Vibe Coding、Agentic Engineering、AGI、Tesla AI 与自动驾驶。适合使用 ChatGPT、Claude、Codex 等 AI 工具检索原文、追溯观点并理解 Karpathy 的技术方法。 An AI-ready Andrej Karpathy knowledge base built for AI assistants and agents to connect to, search, read, and cite. It features 12 full English texts and transcripts covering LLMs, ChatGPT, GPT and Transformers, neural networks and backpropagation, micrograd, makemore, GPT tokenization, GPT-2 reproduction, Software 3.0, vibe coding, agentic engineering, AGI, Tesla AI, and autonomous driving. Use it with AI tools such as ChatGPT, Claude, and Codex to retrieve primary sources, trace Karpathy’s ideas, and explore his technical thinking.

这是一个可供 AI 助手与 AI Agent 检索、分析和引用的罗永浩公开资料与蒸馏模型库，收录 66 份以一手公开资料为主的书籍、演讲、访谈、发布会和辩论文本，包括《我的奋斗》《生命不息，折腾不止》、锤子科技发布会、《长谈》、王自如辩论及《罗永浩的十字路口》等内容，并包含基于这些资料整理的观点模型与 Skill 文档。 | An AI-ready archive and distilled perspective model built from 66 documents related to Luo Yonghao. The collection includes books, speeches, interviews, Smartisan product launches, long-form conversations, debates, and selected episodes of Luo Yonghao at the Crossroads, together with research notes and Skill documents derived from these primary and public sources. | 适合用 ChatGPT、Claude、Codex 等 AI 工具研究罗永浩的表达风格、商业判断、产品观念、公共议题立场及不同时期的观点变化。 | It can be used with AI tools such as ChatGPT, Claude, and Codex to study Luo Yonghao’s communication style, business reasoning, product philosophy, public positions, and changes in perspective over time.

这是一个可供 AI 助手与 AI Agent 直接检索和引用的官方产品文档库，收录 Codex、Claude Code、Claude Cowork、豆包、OpenClaw、WorkBuddy、Coze、Cursor、GitHub Copilot、Gemini CLI 和 Manus 等产品的官方文档与帮助中心，覆盖安装配置、功能使用、工具集成和常见问题。 | An AI-ready collection of official product documentation for Codex, Claude Code, Claude Cowork, Doubao, OpenClaw, WorkBuddy, Coze, Cursor, GitHub Copilot, Gemini CLI, Manus, and other AI agent products. It supports AI-assisted research into setup, configuration, features, integrations, and common issues.

这是一个可供 AI 助手与 AI Agent 检索和引用的提示词工程知识库，基于 DAIR.AI 开源指南整理，涵盖零样本与少样本提示、进阶策略、模型适配、工具使用、RAG、Agent 提示及相关研究论文，适合设计、测试和优化提示词。 | An AI-ready prompt engineering knowledge base based on DAIR.AI’s open-source Prompt Engineering Guide. It covers zero-shot and few-shot prompting, advanced strategies, model-specific techniques, tools, RAG, agent prompting, and related research, providing a structured reference for designing, testing, and improving prompts.

这是一个可供 AI 助手与 AI Agent 检索、阅读和引用的人工智能论文库，收录李沐论文精读项目中的代表性论文及配套资料，覆盖计算机视觉、自然语言处理、神经网络、Transformer 和大语言模型等方向。 An AI-ready research library featuring influential papers and supporting materials from Mu Li’s paper-reading project. It covers computer vision, natural language processing, neural networks, Transformers, large language models, and related areas, allowing AI assistants and agents to search, read, compare, and cite the original research.

这套微软开源课程已整理为可供 AI 助手与 AI Agent 通过 Linkly 检索、读取和引用的生成式 AI 学习库，涵盖大语言模型、提示词工程、检索增强生成（RAG）、向量数据库、AI Agent 和负责任 AI，并配有可运行的代码示例。 | An AI-ready version of Microsoft’s open-source Generative AI for Beginners course, designed for AI assistants and agents to search, read, and cite through Linkly. It covers large language models, prompt engineering, retrieval-augmented generation (RAG), vector databases, AI agents, responsible AI, and hands-on code examples.

这是一个可供 AI 助手与 AI Agent 查询和引用的豆包官方帮助中心知识库，汇集豆包订阅、豆包工作及其他常用功能的操作说明与常见问题，适合快速查询产品使用方法、账号问题和故障解决方案。 | An AI-searchable collection of official FAQs and user guidance from the Doubao Help Center. It covers Doubao subscriptions, Doubao Work, commonly used features, account questions, and troubleshooting, providing quick answers and practical product guidance.

这是一个面向 AI 检索、学习和实践的大语言模型课程库，涵盖数学与深度学习基础、Transformer、微调、量化、推理、评测和部署，适合建立从理论基础到工程落地的完整 LLM 学习路线。 | An AI-searchable learning path for large language models, covering mathematical and deep learning foundations, Transformers, fine-tuning, quantization, inference, evaluation, and deployment. It provides a structured route from core theory to practical LLM engineering.