Appendix C: Resource Index

Carefully curated AI programming learning resources to help you continuously improve skills.

Official Documentation

Model Providers

• OpenAI Platform: https://platform.openai.com/docs

  • API reference, best practices, security guides
  • Playground, Token calculator and other tools

• Anthropic Claude: https://docs.anthropic.com

  • Claude API documentation, prompt engineering guide
  • Computer Use, MCP protocol documentation

• Google AI Studio: https://ai.google.dev

  • Gemini API documentation and quick start
  • Multimodal examples and tutorials

• DeepSeek: https://platform.deepseek.com/docs

  • Domestic open-source model documentation
  • Deployment guide and API reference

AI Programming Tools

• Cursor: https://docs.cursor.com

  • IDE usage tutorials, shortcuts, configuration guide
  • AI features best practices

• Claude Code: https://docs.anthropic.com/claude-code

  • Command-line tool installation and usage
  • Workflow integration examples

• GitHub Copilot: https://docs.github.com/copilot

  • Multi-editor integration guide
  • Enterprise edition management documentation

• Codex CLI: https://github.com/openai/codex-cli

  • Command-line AI assistant documentation
  • Custom command configuration

Frameworks and Libraries

JavaScript/TypeScript

• OpenAI Node SDK: https://github.com/openai/openai-node

  • Official Node.js library, comprehensive TypeScript support

• Vercel AI SDK: https://sdk.vercel.ai

  • Streaming UI, multi-model abstraction, React Hooks

• LangChain.js: https://js.langchain.com

  • RAG, Agent, tool calling and other features

Python

• OpenAI Python SDK: https://github.com/openai/openai-python

  • Official Python library, async support

• LangChain: https://python.langchain.com

  • Most complete LLM application framework

• LangGraph: https://langchain-ai.github.io/langgraph

  • Stateful Agent workflows

• CrewAI: https://docs.crewai.com

  • Multi-agent collaboration framework

Other Languages

• OpenAI Go SDK: https://github.com/sashabaranov/go-openai

  • Community-maintained, feature-complete

• Anthropic Java SDK: https://github.com/anthropics/anthropic-sdk-java

  • Official Java library

• Rust OpenAI: https://github.com/64bit/async-openai

  • Async Rust implementation

Learning Resources

Online Courses

• DeepLearning.AI: https://www.deeplearning.ai

  • ChatGPT Prompt Engineering for Developers
  • Building Systems with the ChatGPT API
  • LangChain for LLM Application Development

• Anthropic Courses: https://www.anthropic.com/courses

  • Claude API official courses
  • Prompt Engineering best practices

• Coursera AI Specializations: https://www.coursera.org

  • Generative AI specialization courses
  • AI product management

YouTube Channels

• 3Blue1Brown: https://www.youtube.com/@3blue1brown

  • Neural Networks visualization explanations (EN/CN subtitles)

• Andrej Karpathy: https://www.youtube.com/@AndrejKarpathy

  • Let's build GPT series, implement from scratch

• AI Explained: https://www.youtube.com/@aiexplained-official

  • Latest model and paper interpretations

• sentdex: https://www.youtube.com/@sentdex

  • Python AI programming hands-on tutorials

• Liu Er Da Ren: https://space.bilibili.com/17404347

  • Bilibili quality AI tech explanations (Chinese)

• Learn AI with Li Mu: https://space.bilibili.com/1567748478

  • Paper deep-dives and practical tutorials (Chinese)

Blogs and News

• OpenAI Blog: https://openai.com/blog

  • Latest model releases and technical articles

• Anthropic News: https://www.anthropic.com/news

  • Claude updates and research papers

• Lil'Log: https://lilianweng.github.io

  • OpenAI researcher's deep technical blog

• The Batch (DeepLearning.AI): https://www.deeplearning.ai/the-batch

  • Weekly AI news highlights

• Simon Willison's Blog: https://simonwillison.net

  • LLM application development practical experience

• Machine Heart: https://www.jiqizhixin.com

  • Chinese AI news and paper interpretations

• Quantum Bit: https://www.qbitai.com

  • Chinese AI industry news

Recommended Books

• "Dive into Deep Learning": https://zh.d2l.ai

  • Written by Li Mu team, Chinese open-source textbook

• Build a Large Language Model (From Scratch): Sebastian Raschka

  • Practical guide to building LLM from scratch

• Designing Machine Learning Systems: Chip Huyen

  • ML system design and production deployment

• Generative AI with LangChain: Ben Auffarth

  • LangChain practical tutorial

Community and Forums

Discord Servers

• OpenAI Discord: https://discord.gg/openai

  • API usage exchange, Q&A

• LangChain Discord: https://discord.gg/langchain

  • Framework usage discussion and tech support

• Anthropic Discord: https://discord.gg/anthropic

  • Claude user community

• Cursor Community: https://discord.gg/cursor

  • IDE usage tips sharing

Reddit

• r/MachineLearning: https://reddit.com/r/MachineLearning

  • ML research and paper discussions

• r/LocalLLaMA: https://reddit.com/r/LocalLLaMA

  • Local model deployment and optimization

• r/ChatGPT: https://reddit.com/r/ChatGPT

  • User experience and prompt techniques

• r/ArtificialIntelligence: https://reddit.com/r/ArtificialIntelligence

  • AI industry dynamics and trends

GitHub Projects

• Awesome LLM: https://github.com/Hannibal046/Awesome-LLM

  • LLM resource collection

• Awesome ChatGPT Prompts: https://github.com/f/awesome-chatgpt-prompts

  • Prompt example collection

• LangChain Templates: https://github.com/langchain-ai/langchain/tree/master/templates

  • Official application templates

• OpenAI Cookbook: https://github.com/openai/openai-cookbook

  • Official example code and tutorials

Tools and Platforms

Prompt Tools

• PromptPerfect: https://promptperfect.jina.ai

  • AI-powered prompt optimization tool

• Prompt Flow: https://microsoft.github.io/promptflow

  • Microsoft's prompt engineering workflow tool

• LangSmith: https://smith.langchain.com

  • LangChain's debugging and monitoring platform

Evaluation and Monitoring

• Weights & Biases: https://wandb.ai

  • ML experiment tracking and visualization

• Braintrust: https://braintrustdata.com

  • AI application evaluation and optimization platform

• Helicone: https://helicone.ai

  • LLM request monitoring and analysis

• LangFuse: https://langfuse.com

  • Open-source LLM observability platform

Vector Databases

• PostgreSQL + pgvector: https://github.com/pgvector/pgvector

  • Production-grade vector search extension

• Supabase: https://supabase.com

  • Managed Postgres + vector search

• Weaviate: https://weaviate.io

  • Professional vector database, supports multimodal

• Pinecone: https://www.pinecone.io

  • Managed vector database service

Deployment Platforms

• Vercel: https://vercel.com

  • Next.js and React app deployment

• Cloudflare Workers: https://workers.cloudflare.com

  • Edge computing platform

• Railway: https://railway.app

  • Rapid deployment and hosting

• Modal: https://modal.com

  • Serverless GPU computing

Papers and Research

arXiv Selection

• Papers with Code: https://paperswithcode.com

  • Paper + code implementation index

• Hugging Face Papers: https://huggingface.co/papers

  • Daily paper selection and discussion

Research Institutions

• OpenAI Research: https://openai.com/research
• Anthropic Research: https://www.anthropic.com/research
• Google DeepMind: https://deepmind.google
• Meta AI Research: https://ai.meta.com

Chinese Resources

Communities

• AI Study Society: https://www.juejin.cn/tag/AI

  • Juejin AI technology tag

• V2EX AI Node: https://v2ex.com/go/ai

  • Developer discussion community

• Zhihu AI Topic: https://www.zhihu.com/topic/19551275

  • Q&A and experience sharing

Localized Documentation

• LangChain Chinese Documentation: https://www.langchain.com.cn
• OpenAI API Chinese Guide: Community-maintained translations

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Last updated: 2026-02-20