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

📋 A list of open LLMs available for commercial use.

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".

AI Observability & Evaluation

TensorZero is an open-source LLMOps platform that unifies an LLM gateway, observability, evaluation, optimization, and experimentation.

The best way to get AI coding agents to solve hard problems in complex codebases.

Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen3.6, GPT-OSS, Llama, and more!

The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.

An Open-Source Asynchronous Coding Agent

"AutoAgent: Fully-Automated and Zero-Code LLM Agent Framework"

Easily fine-tune, evaluate and deploy Qwen, Gemma, or any open weight LLM!

Build effective agents using Model Context Protocol and simple workflow patterns

[SIGMOD'27] Easy Data Preparation with latest LLMs-based Operators and Pipelines.

Build autonomous AI agents in Python.

22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.

可私有部署的多租户知识智能体平台：统一 RAG、知识图谱、多智能体、MCP/Skills、沙盒与权限管理。Yuxi = Cloud Agents + Knowledge RAG, Self-hosted knowledge agent platform for RAG, knowledge graphs and multi-agent workflows.

Run LLMs with MLX

NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.

Plano is an AI-native proxy server and data plane for agentic apps. Smart LLM routing, observability, agent orchestration, and guardrails so you stay focused on your agents core logic.

Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷

TalkToFigma: MCP integration between AI Agent (Cursor, Claude Code, Codex) and Figma, allowing Agentic AI to communicate with Figma for reading designs and modifying them programmatically.

🔍 An LLM-based Multi-agent Framework of Web Search Engine (like Perplexity.ai Pro and SearchGPT)

Play ChatGPT and other LLM with Xiaomi AI Speaker

Efficient Triton Kernels for LLM Training

Building AI agents, atomically