llms

Glamourous agentic coding for all 💘

🚀 The fast, Pythonic way to build MCP servers and clients.

An open-source RAG-based tool for chatting with your documents.

What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?

The SDK For Browser Agents

50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.

✅（已完结）超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】

End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.

Local, open-source AI app builder for power users ✨ v0 / Lovable / Replit / Bolt alternative 🌟 Star if you like it!

An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

Your API ⇒ Paid MCP. Instantly.

Structured Outputs

主要记录大语言大模型（LLMs） 算法（应用）工程师相关的知识及面试题

20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

LangChain4j is an idiomatic, open-source Java library for building LLM-powered applications on the JVM. It offers a unified API over popular LLM providers and vector stores, and makes implementing tool calling (including MCP support), agents and RAG easy. It integrates seamlessly with enterprise Java frameworks like Quarkus and Spring Boot.

📋 A list of open LLMs available for commercial use.

A blazing fast AI Gateway with integrated guardrails. Route to 1,600+ LLMs, 50+ AI Guardrails with 1 fast & friendly API.

Pocket Flow: Codebase to Tutorial

Access large language models from the command-line

The official GitHub page for the survey paper "A Survey of Large Language Models".