192 AI learning resources, 192 links hand-checked (2026-10-19) — official courses, docs, open-source projects and free tutorials.
廖雪峰 · AI Fundamentals
One of the most widely circulated Python beginner tutorials in the Chinese-speaking world, written in plain language and covering syntax, functions, OOP, and common standard libraries. It is completely free to read.
DeepLearning.AI / Coursera · AI Fundamentals
Andrew Ng's AI literacy course for non-technical audiences, covering what AI can actually do, where its limits lie, and how to pick AI projects at work. Auditing is free.
Kaggle · AI Fundamentals
Kaggle's official series of short courses with hands-on exercises in the browser, covering Python, Pandas, machine learning, deep learning, and feature engineering basics.
Google · Machine Learning
Google's machine learning crash course with videos, lectures, and interactive exercises, spanning linear regression to neural networks and representation learning.
台湾大学 李宏毅 · Machine Learning
A Chinese-language machine learning course by NTU professor Hung-yi Lee, known for its humorous style and comprehensive coverage, updated every year. Full re-uploads are on Bilibili.
李沐 等 · Deep Learning
An open-source deep learning textbook in Chinese, with runnable code, video lectures, and exercises, taking learners from zero to full project practice.
PyTorch（Meta） · Deep Learning
PyTorch's complete official tutorials, from tensor basics to large-model training, with a Chinese version on the site plus a 60-minute quick start.
Hugging Face · Large Language Models
Hugging Face's official course covering Transformer architectures, fine-tuning, and the Transformers ecosystem. Completely free and widely recommended.
OpenAI · Large Language Models
OpenAI's official API documentation covering model capabilities, function calling, structured outputs, and best practices. The primary source for API-driven development.
DeepSeek · Large Language Models
DeepSeek's official API documentation: Chinese-friendly and inexpensive, a good fit for first API calls and reasoning-model experiments, with free credits for new users.
DAIR.AI · Prompting & Apps
The most systematic open-source prompt engineering tutorial. The Chinese edition covers fundamental techniques, RAG, Agents, and adversarial safety.
Hugging Face · AI Agent Development
Hugging Face's official Agent course covering tool calling, RAG, reasoning agents, and hands-on work with smolagents. All free.
LangChain · AI Agent Development
Docs for the most popular LLM application framework, covering model I/O, chains, retrieval, memory, and Agents, with a huge ecosystem.
Dify · AI Agent Development
An open-source LLM app development platform with visual orchestration of RAG and Agents, one-click deployment, and friendly Chinese docs.
字节跳动 · AI Agent Development
ByteDance's no-code platform for building AI apps, with publishing to Feishu, WeChat, and other channels. New users get free credits.
Hugging Face · Open Source & Tools
Official docs for the Transformers library, supporting inference, training, and fine-tuning of hundreds of pretrained models — the standard tool for working with models.
Ollama · Deployment & Serving
Run open-source LLMs locally with a single command on Windows, macOS, or Linux — the go-to starting point for local deployment.
菜鸟教程 · AI Fundamentals
A quick-reference Python tutorial in Chinese with concise explanations and plenty of examples, handy to keep around as a desk reference.
莫烦 · AI Fundamentals
Free beginner-friendly Python and machine learning tutorials, rich in illustrations and driven by examples, explained in an intuitive style.
DeepLearning.AI / Coursera · Deep Learning
A five-course series taught by Andrew Ng, running from neural network basics to CNNs, RNNs, and sequence models. Audit for free; certificates require a subscription.
赫尔辛基大学 & Reaktor · AI Fundamentals
A free AI literacy course from Finland with no programming prerequisites, covering the history, principles, ethics, and philosophy of AI. A Chinese version is available.
fast.ai · Deep Learning
The famous top-down deep learning course: get projects running first, then learn the theory. Ships with the fastai library and full video lectures, all free.
Grant Sanderson · AI Fundamentals
Beautiful animations make gradient descent, backpropagation, and the core principles of neural networks intuitive. Officially licensed Chinese-subtitled versions are on Bilibili.
Andrej Karpathy · Deep Learning
A video series by former OpenAI founding member Andrej Karpathy: build backpropagation, character-level language models, and miniGPT from scratch. Hardcore but hugely popular.
百度 · AI Fundamentals
Baidu's official PaddlePaddle AI learning and training platform, offering free courses, online Notebooks, and free GPU compute, with fast access from within China.
阿里云 · Community & News
Alibaba Cloud's data science competition and learning community, offering datasets, contests, beginner tutorials, and compute support.
斯坦福大学 · Machine Learning
Stanford's classic machine learning course, taught for years by Andrew Ng, covering supervised and unsupervised learning with theory. All lecture notes and videos are public.
斯坦福大学 · Deep Learning
A landmark computer vision course covering CNN architectures, training tricks, and frontier models, with all videos and notes public.
斯坦福大学 · Large Language Models
A core NLP course running from word vectors and RNNs up to Transformers and large models, always tracking the frontier, with all materials public.
scikit-learn 社区 · Machine Learning
The official user guide for the classic machine learning library, with clear algorithm explanations and complete examples. The best docs for learning traditional ML.
Google · Deep Learning
Official TensorFlow tutorials covering a quick Keras start plus full-scenario examples for vision, text, and generative AI.
Aurélien Géron · Machine Learning
The open-source code repository for the classic ML textbook, covering full workflows with Scikit-Learn, Keras, and TensorFlow. Best used alongside the book.
Hugging Face · Large Language Models
A systematic walkthrough of LLM architecture, tokenization, pretraining, alignment, and inference optimization, with runnable experiments. All free.
OpenAI · Prompting & Apps
OpenAI's official prompt engineering guide, distilling six core strategies with plenty of positive and negative examples. Short and sharp.
OpenAI · Large Language Models
OpenAI's official collection of runnable examples for common scenarios such as RAG, Agents, and function calling. Learn by copying.
Anthropic · Large Language Models
Official Claude API documentation covering the Messages API, tool use, MCP, and prompt engineering. Exceptionally well written.
Google · Large Language Models
Official Gemini API docs and tutorials, including free tiers, multimodal capabilities, and a getting-started guide for Vertex AI.
阿里云 · Large Language Models
Docs for Alibaba Cloud's Model Studio platform, offering APIs for the full Qwen model family, application orchestration, and enterprise capabilities, with free credits for new users.
智谱 AI · Large Language Models
Zhipu's official open platform, with API docs for GLM-4 and related models plus knowledge base and Agent capabilities. Free credits for new users.
月之暗面 · Large Language Models
Kimi's official API platform, built around ultra-long context. The docs are concise and quick to get through, with free credits for new users.
字节跳动 · Large Language Models
Docs for ByteDance's Volcano Engine LLM platform, offering the Doubao model family and model-as-a-service capabilities, with free credits for new users.
百度 · Large Language Models
Docs for Baidu's Qianfan platform, covering ERNIE-series model APIs, fine-tuning, and the full app development workflow.
MiniMax · Large Language Models
MiniMax's official API platform, offering abab-series text models and speech synthesis, with thorough documentation.
腾讯云 · Large Language Models
Tencent Hunyuan's official product page and docs hub, with API access to the hunyuan model series and industry solutions.
硅基流动 · Large Language Models
A China-based LLM API aggregation platform: one key to call dozens of popular open-source models, with free credits for new users.
Sander Schulhoff 等 · Prompting & Apps
A veteran prompt engineering learning site, now grown into a course platform with free and paid courses on prompt engineering, AI safety, and more. A classic starting point.
Hugging Face · Community & News
Hugging Face's daily picks from ArXiv, with community upvotes and discussions. A lightweight way to track the frontier.
Lilian Weng · Large Language Models
The tech blog of OpenAI's former safety lead, with classic long reads on LLMs, Agents, and RLHF. Worth rereading.
Jay Alammar · Large Language Models
Visual, illustration-driven explanations of Transformers, BERT, GPT, and diffusion models. Many people's go-to intro classic.
Papers with Code · Community & News
An academic community that pairs papers with code, where you can browse SOTA methods and open-source implementations by task.
LangChain · AI Agent Development
LangChain's framework for orchestrating stateful Agents, supporting cycles, human-in-the-loop, persistence, and debugging.
LlamaIndex · AI Agent Development
A data framework for RAG development, covering retrieval, indexing, query engines, and Agents, with rich documentation examples.
FastGPT · AI Agent Development
An open-source knowledge base Q&A system with out-of-the-box visual RAG orchestration, APIs, and Docker deployment.
Microsoft · AI Agent Development
Microsoft's open-source multi-agent conversation framework, supporting multi-agent collaboration, code execution, and human-in-the-loop workflows.
MetaGPT · AI Agent Development
A multi-agent framework that assigns SOPs to different agent roles so they can collaborate on complex tasks.
Anthropic · MCP Protocol
An open protocol standard for tool integration that has become the mainstream way for agents to connect to external tools and data. The docs include a quick start.
n8n · AI Agent Development
An open-source workflow automation platform with built-in AI nodes, hundreds of app integrations, and self-hosting support.
DeepLearning.AI · AI Agent Development
One-hour short courses from Andrew Ng's team, covering hot topics like Agents, RAG, and prompt engineering — all free.
ComfyUI · Multimodal & AIGC
A node-based Stable Diffusion workflow tool; the docs cover installation, workflow examples, and custom node development.
Hugging Face · Multimodal & AIGC
Documentation for Hugging Face's diffusion model library, covering Stable Diffusion, ControlNet, and video generation, with runnable code.
Ultralytics · Multimodal & AIGC
Official docs for the YOLO object detection framework — training, validation, deployment, and tracking in one place, with a fast learning curve.
OpenAI · Multimodal & AIGC
An open-source general-purpose speech recognition model supporting multilingual transcription and translation, runnable locally with a single command.
Midjourney · Multimodal & AIGC
Official docs covering prompts, parameters, style references, and the web editor. A subscription is required.
阿里云 · Multimodal & AIGC
Official help docs for Tongyi Wanxiang, covering text-to-image, style transfer, and API usage. New users get free credits.
vLLM 社区 · Deployment & Serving
A high-performance LLM inference and serving engine; PagedAttention dramatically boosts throughput, with support for mainstream open-source models.
hiyouga 等 · Open Source & Tools
A one-stop LLM fine-tuning framework supporting LoRA and full fine-tuning of mainstream open-source models, with friendly Chinese docs and a quick start.
infiniflow · Open Source & Tools
A RAG engine built on deep document understanding, offering out-of-the-box knowledge-base Q&A and parsing of complex document formats.
Open WebUI · Deployment & Serving
A self-hosted AI chat interface that supports Ollama and OpenAI-compatible APIs, and can be deployed offline on an intranet.
阿里云 · Open Source & Tools
The Qwen series open-source model repository, covering everything from 0.5B to 110B+ parameters plus multimodal variants, with an active ecosystem.
百度 · Open Source & Tools
China's first open-source deep learning framework, with comprehensive Chinese docs and industry case studies, and support for domestic hardware.
华为 · Open Source & Tools
Huawei's open-source deep learning framework with thorough docs and tutorials, tuned for Ascend hardware and domestic tech stacks.
Datawhale · Community & News
A well-known Chinese open-source learning community offering team-based learning, open-source tutorials, and competition coaching in a friendly atmosphere.
和鲸科技 · Community & News
An online data science practice community with Notebook environments, datasets, and courses — practice without installing anything.
阮一峰 · Community & News
A weekly Chinese tech newsletter with dependable roundups of AI tools and industry trends, good for staying current.
OpenBayes · Community & News
A Chinese GPU compute rental and learning platform with container environments and datasets. Students and beginners get free credits.
Python Software Foundation · AI Fundamentals
The official beginner tutorial from the Python team, covering syntax, data structures, modules, and error handling — the authoritative source for language details.
Harvard University · AI Fundamentals
Harvard CS50's Python intro course combining lectures and hands-on exercises, from basic syntax through object-oriented programming and testing — completely free.
Real Python · AI Fundamentals
A Python learning site known for clear step-by-step tutorials, with high-quality articles on web development, data, and automation. Some advanced content requires a subscription.
3Blue1Brown · AI Fundamentals
Animated, intuitive explanations of vectors, matrices, and eigenvalues, widely regarded as the best material for building linear algebra intuition. Chinese-dubbed versions circulate in the community.
3Blue1Brown · AI Fundamentals
Visual explanations of the core ideas behind derivatives, integrals, and series — a fast way to rebuild math intuition as a foundation for understanding model training.
J. Ström 等 · AI Fundamentals
An interactive online linear algebra textbook with plenty of dynamic figures and an emphasis on geometric intuition, free to read online.
Josh Starmer · AI Fundamentals
Short, clear animated videos explaining statistics and machine learning concepts at a friendly pace — a lifesaver for many beginners.
Imperial College London · AI Fundamentals
A math specialization from Imperial College London covering linear algebra, multivariate calculus, and PCA, free to audit on Coursera.
DeepLearning.AI · Machine Learning
Andrew Ng's classic machine learning specialization on Coursera, with a long-standing reputation, covering regression, classification, and clustering. Free to audit.
Gareth James 等 · Machine Learning
The official site of the ISL/ISLP textbooks, with free PDF downloads — one of the most beginner-friendly authoritative books in statistical learning.
Kevin Murphy · Machine Learning
Kevin Murphy's authoritative two-volume work, with a free online reading version covering probabilistic machine learning from fundamentals to the frontier.
OpenML · Machine Learning
An open scientific data platform pooling vast datasets, experiment pipelines, and results, making it easy to reproduce papers and compare model performance.
MIT · Machine Learning
An introduction to machine learning from MIT OpenCourseWare, with solid content and complete assignments — free to self-study.
Google · Deep Learning
Documentation for Google's accelerated numerical computing library, supporting automatic differentiation and GPU/TPU compilation — a popular choice for research and high-performance experiments.
Keras 团队 · Deep Learning
Official docs for the deep learning framework known for its friendly API, with step-by-step tutorials that get you building your first model fast.
Goodfellow 等 · Deep Learning
The field's universally acknowledged authoritative textbook, with free online reading — a desk reference to keep on hand.
Michael Nielsen · Deep Learning
Michael Nielsen's free online book, pairing figures with intuition, widely recommended as the first book for learning neural networks.
MIT · Deep Learning
MIT's short deep learning course, updated annually, with companion code labs covering vision, language, and generative models.
NYU · Deep Learning
NYU's deep learning course taught by Yann LeCun and Alfredo Canziani, with all lecture notes and videos publicly available.
Lightning AI · Deep Learning
A lightweight training framework that wraps engineering details on top of PyTorch, helping you write cleaner, reusable training code. Note: in October 2026 the Lightning platform suspended service after a security incident, so official docs are temporarily unavailable — for now, source code and examples are available via the GitHub repository.
D2L 社区 · Deep Learning
A deep learning textbook maintained by the global open-source community, combining explanations, code, and exercises — the same source as the Chinese edition.
Mistral AI · Large Language Models
Official API and model documentation from Mistral AI, covering everything from chat completions to function calling.
Vaswani 等 · Large Language Models
The foundational paper of the Transformer architecture and the root of all large models; best read section by section alongside visual guides.
Devlin 等 · Large Language Models
The classic paper that introduced bidirectional pretraining, establishing the pretrain-then-finetune paradigm in NLP.
Brown 等 · Large Language Models
The GPT-3 paper, which demonstrated the few-shot learning ability of large language models — key reading for understanding how they behave.
Meta AI · Large Language Models
The Llama 3 technical report, detailing data, training, and alignment — the benchmark paper for open-source large models.
Anthropic · Prompting & Apps
Anthropic's official guide to prompt engineering, moving from clear instructions to chain of thought; the techniques transfer to other models.
GitHub 社区 · Prompting & Apps
One of the most widely shared prompt collections on GitHub, with ready-made templates for writing, coding, learning, and more.
DeepLearning.AI · Prompting & Apps
A one-hour prompt engineering short course by Andrew Ng and OpenAI, teaching the two guiding principles of prompt design.
Brex · Prompting & Apps
A prompt engineering handbook from the Brex team, distilling battle-tested techniques and anti-patterns from production.
GitHub · AI-Assisted Coding
Official GitHub docs for Copilot, covering installation, prompting tips, and setup across editors.
Anysphere · AI-Assisted Coding
A code editor built around deep AI integration, with codebase Q&A and multi-file editing; free tier available.
Cline · AI-Assisted Coding
An open-source autonomous coding assistant for VS Code that reads and writes files and runs commands with your own API key.
Aider · AI-Assisted Coding
An open-source tool for pair programming with AI from the terminal, with automatic Git commits — great for scripted codebase refactors.
Continue · AI-Assisted Coding
An open-source AI coding extension for VS Code and JetBrains that connects to any local or cloud model, keeping you in control of privacy.
Tabby · AI-Assisted Coding
A self-hosted code completion and Q&A service that works with many editors — ideal for teams that require code to stay on-prem.
智谱 AI · AI-Assisted Coding
A code generation and completion tool from Zhipu AI with friendly Chinese interaction, supporting mainstream IDEs.
阿里云 · AI-Assisted Coding
An AI coding assistant from Alibaba Cloud powered by the Tongyi models, free for individual use and compatible with mainstream IDEs.
All Hands AI · AI-Assisted Coding
Formerly OpenDevin, an open-source autonomous software development agent that edits code, runs commands, and browses the web to complete tasks.
Anthropic · AI-Assisted Coding
Official docs for Anthropic's terminal coding agent, covering installation, common commands, and workflow setup.
Codeium · AI-Assisted Coding
An agentic IDE from the Codeium team built around the Cascade flow-based collaboration experience; free tier available.
Anthropic · AI Agent Development
A course repository maintained by Anthropic, covering the Claude API, tool use, and how to build agents.
Microsoft · AI Agent Development
Microsoft's open-source SDK that combines LLMs with plugins, planners, and memory; a common choice for enterprise integration.
OpenAI · AI Agent Development
Docs for OpenAI's official agent framework, with built-in tool calling, handoffs, and tracing.
Pydantic · AI Agent Development
An agent framework built around Pydantic's type validation — reliable code, test-friendly, and carrying FastAPI's design DNA.
Hugging Face · AI Agent Development
A minimalist agent library from Hugging Face with a clean, readable core — great for learning how agents actually work.
Google · AI Agent Development
Google's official agent development kit, supporting multi-agent orchestration and tool integration, and compatible with open models.
Stanford NLP · AI Agent Development
A declarative LLM programming framework from Stanford that treats prompts as optimizable parameters, for systematic performance gains.
Anthropic · AI Agent Development
An agent design article from Anthropic's engineering team that clarifies when to use workflows versus agents; widely influential.
Titan Codes · AI Agent Development
A constantly updated collection of agent tools and resources, covering frameworks, evaluation, and multi-agent systems.
CrewAI · AI Agent Development
A multi-agent framework built around role-based collaboration, quick to pick up with an active community — well suited to business automation.
Alok · AI Agent Development
A 12-week hands-on agent roadmap following learn, build, evaluate, improve — with a runnable project each week.
OWASP · AI Agent Development
The OWASP Foundation's security checklist for LLM applications — the standard reference for risks like prompt injection and data leakage.
Anthropic · MCP Protocol
The official MCP specification, defining the standard for hosts, clients, servers, and tool/resource exchange.
MCP 社区 · MCP Protocol
An official collection of MCP servers — filesystem, database, browser, and more, ready to use out of the box.
MCP 社区 · MCP Protocol
The official MCP Python SDK, with server and client implementations — the starting point for building custom servers.
MCP 社区 · MCP Protocol
The official MCP TypeScript SDK, for building MCP servers in the Node ecosystem.
punkpeye · MCP Protocol
A community-maintained directory of MCP servers, indexed by category across production-grade and experimental options.
Anthropic · MCP Protocol
The announcement post introducing MCP, explaining the motivation behind it and its goal of a unified interface for AI apps.
Hugging Face · MCP Protocol
A beginner-friendly MCP course from Hugging Face, taking you from concepts to building your first MCP server.
Pinecone · RAG & Retrieval
A free learning hub from a vector database vendor, with high-quality articles on RAG, embeddings, and hybrid search.
Pinecone · RAG & Retrieval
An illustrated overview of RAG that clearly explains the motivation, pipeline, and common pitfalls of retrieval-augmented generation.
LangChain · RAG & Retrieval
LangChain's official RAG tutorial, with complete runnable code from document splitting to retrieval-based Q&A.
RAGAS · RAG & Retrieval
An open-source evaluation framework built for RAG, offering reference-free metrics like faithfulness and answer relevance.
Chroma · RAG & Retrieval
An open-source vector database known for its simplicity — a few lines of code to embed in your app, ideal for local and small projects.
Qdrant · RAG & Retrieval
A high-performance vector database written in Rust, with filtering, quantization, and distributed deployment; thorough docs.
pgvector · RAG & Retrieval
A vector similarity extension for PostgreSQL that adds embeddings search to a standard database, with minimal ops overhead.
Meta AI · RAG & Retrieval
An open-source vector search library from Meta that stays fast at billion scale — a standard tool in algorithm research.
UKPLab · RAG & Retrieval
The most popular sentence embeddings library, with hundreds of pretrained models and tasks like similarity computation and reranking.
Hugging Face · RAG & Retrieval
A large-scale leaderboard for text embedding models, comparing performance across tasks and languages — a must-check when selecting a model.
Microsoft · RAG & Retrieval
Microsoft's open-source graph-based RAG approach that extracts a knowledge graph from documents and excels at questions requiring a global view.
Gao 等 · RAG & Retrieval
A fairly comprehensive RAG survey covering the paradigms and evaluation methods of naive, advanced, and modular RAG.
DeepLearning.AI · RAG & Retrieval
A hands-on short course on advanced retrieval strategies, reranking, and RAG evaluation methods.
Hugging Face · RAG & Retrieval
A RAG evaluation guide from the Hugging Face Cookbook with copy-paste evaluation workflows and code.
Grashiya · RAG & Retrieval
A staged RAG learning roadmap repository with curated resources and project ideas, from retrieval basics to production-grade systems.
LM Studio · Deployment & Serving
A GUI tool for running LLMs locally, with one-click model downloads and local chat — beginner friendly.
ggerganov · Deployment & Serving
A pure C/C++ inference engine that runs LLMs even on CPU — one of the de facto standards for local deployment.
Hugging Face · Deployment & Serving
Hugging Face's official inference serving framework with continuous batching and tensor parallelism, built for API-style deployment.
Gradio · Deployment & Serving
A Python library for ML demo interfaces — wrap a model into a shareable web app in a few lines.
Streamlit · Deployment & Serving
A pure-Python framework for interactive web apps — a popular pick for AI prototypes and internal tools.
MLflow · Deployment & Serving
An open-source MLOps platform covering the full lifecycle: experiment tracking, model registry, and deployment management.
Goku Mohandas · Deployment & Serving
A production-oriented ML course covering the full engineering loop: features, training, deployment, and monitoring.
Full Stack Deep Learning · Deployment & Serving
A university-backed full-stack deep learning course spanning the whole engineering pipeline from data to deployment.
W&B · Deployment & Serving
Docs for the popular experiment tracking platform: log metrics, compare runs, and manage datasets, with a generous free tier for individuals.
Hugging Face · Deployment & Serving
Hugging Face's unified inference API docs — one endpoint to call hosted models from multiple providers.
dswh · Deployment & Serving
A three-stage learning roadmap repository from LLM API basics to LLMOps, with a long list of project ideas.
Kaggle · Hands-on Projects
A data science competition community with real datasets and leaderboards — a great arena to test your skills after the basics.
GitHub 社区 · Hands-on Projects
A project tutorial collection organized by language, each with clear goals and steps — learn by doing.
codecrafters · Hands-on Projects
A big collection of tutorials for building technologies from scratch — databases, editors, neural network engines, and other hardcore projects.
Shubham Saboo · Hands-on Projects
A collection of LLM projects organized by use case, with runnable examples for RAG, agent, and multimodal apps.
gpt-engineer · Hands-on Projects
An open-source project that generates an entire codebase from a one-line prompt — an early landmark experiment in AI programming.
Maxime Labonne · Hands-on Projects
A curated collection of fine-tuning-ready datasets, organized by conversation, instruction, and preference types, with quality notes.
Hugging Face · Multimodal & AIGC
Hugging Face's official audio course covering hands-on speech recognition, classification, and text-to-speech.
Hugging Face · Multimodal & AIGC
Hugging Face's official vision course, from image classification to detection and segmentation, with code that runs right in Spaces.
Hugging Face · Multimodal & AIGC
A systematic course on diffusion models from theory to practice, with generation experiments using the Diffusers library.
CompVis · Multimodal & AIGC
The original Stable Diffusion research repo with model architecture and inference code — first-hand material for understanding diffusion generation.
LangChain · Open Source & Tools
The main LangChain repository source, for developers who want to dig into the framework's internals or contribute to the community.
Nomic AI · Open Source & Tools
A local LLM ecosystem that runs on consumer hardware, with a model marketplace and desktop app — privacy friendly.
LobeHub · Open Source & Tools
A modern open-source chat UI framework supporting multiple model providers and plugins, easy to deploy.
LibreChat · Open Source & Tools
An all-in-one open-source chat platform that connects OpenAI, Anthropic, and local models, with multi-user support.
Mintplex Labs · Open Source & Tools
A local-first document Q&A app — upload files and start chatting; great for quickly testing RAG ideas.
DeepLearning.AI · Community & News
A weekly AI newsletter from Andrew Ng's team, explaining the week's important papers and product news in plain language.
Simon Willison · Community & News
A veteran developer's personal blog, widely read for its prompt injection and engineering posts, with frequent updates.
机器之心 · Community & News
A veteran Chinese AI media outlet covering research progress, industry news, and interviews, with frequent updates.
量子位 · Community & News
A well-known Chinese AI media outlet with a light, readable style — good for quickly following China's AI scene.
Reddit · Community & News
Reddit's most active local LLM community, packed with first-hand info on quantization, deployment, and model benchmarks.
mohabdelkarim · Community & News
A free AI resource collection organized around learning roadmaps, with courses, books, and tools labeled by difficulty.
OpenAI · Tools & API Platforms
OpenAI's conversational product — the free tier is enough to try mainstream model capabilities, and it is most people's first stop with AI.
Anthropic · Tools & API Platforms
Anthropic's conversational product, well regarded for long context and coding; the free tier works for daily use.
Perplexity · Tools & API Platforms
An AI-native search engine whose answers cite sources — handy for quickly verifying questions that come up while studying.
Groq · Tools & API Platforms
Groq's inference cloud runs open models at extreme speed, with free credits on signup.
Google · Tools & API Platforms
Google's model playground: call Gemini models and debug prompts right in the browser, with a friendly free tier.
OpenRouter · Tools & API Platforms
A unified LLM API gateway — one key for hundreds of models, some of them free.
Together · Tools & API Platforms
A cloud platform for serving open models, with serverless and dedicated endpoints plus trial credits on signup.
Cloudflare · Tools & API Platforms
Docs for running models on Cloudflare's edge, deeply integrated with the Workers ecosystem, with a free tier.
BerriAI · Tools & API Platforms
A proxy SDK that calls 100+ LLMs in the OpenAI format, with built-in retries, budgets, and logging.
Jason Liu · Tools & API Platforms
A Pydantic-based structured output library with solid retry and validation — a great companion for function calling.