A curated list of 120+ LLM libraries category wise.
- ai-engineer
- generative-ai
- large-language-models
- llms
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A curated list of 120+ LLM libraries category wise.
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
TranslatedOpen-source manuscript of 《深入理解 AI Infra:量化分析与系统设计》 (In-Depth Understanding of AI Infra: Quantitative Analysis and System Design), by 李博杰 (Li Bojie): starting from hardware constraints and model architecture, it quantitatively derives the system design of LLM inference and training. Includes the full text of the book, a PDF, and companion calculation tools and experiments
A curated list of Large Language Model resources, covering model training, serving, fine-tuning, and building LLM applications.
Your Cheat Sheet For AI Engineering Interviews at Top AI Companies - Questions and Answers.
Official SGLang x Datawhale course on LLM inference: understand inference, build a mini-sglang from scratch, then read the real SGLang source and land your first PR. Available in English and Chinese.
TranslatedFull-stack learning roadmap and Chinese tutorials for large language models (LLM)🔥: covers Prompt Engineering, RAG, AI Agent, MCP, fine-tuning, model deployment, Transformer, AI programming, and interviews at major tech companies, from beginner level to production practice.
TranslatedAI Coding welfare site navigation: a collection of relay stations and public-welfare stations for getting Claude Code / Codex for free, with automatically updated quotas, models, and prices, plus one-click configuration scripts
Implementing LLM architectures from scratch in PyTorch
A curated list of open-source AI agent platforms: AI coworkers and teammates, agent builders and frameworks, workflow automation platforms, browser agents, and coding agents, with licenses.
Harness Engineering 101 — building AI agents from first principles. The LLM is the brain; the harness is the body.
TranslatedAI coding perks navigation: a roundup of relay stations and public-service stations for Claude Code, Codex, and Cursor, organizing free quotas, sign-up bonuses, check-in activities, and evaluation records, and providing a visual dashboard and a Python data collection tool.
An Open Index of RSI Papers
TranslatedChinese tutorial for Stanford CS329Z Engineering AI Agents: an AI agent course for Python developers, with 19 lectures and 4 hands-on practices, covering LLMs, RAG, tool calling, memory, multi-agent systems, evaluation, and safety. Full Markdown, online and offline HTML. Chinese course notes.
Open, source-backed catalog of computer-use agents: reviewed papers, GUI models, datasets, benchmarks, tools, and reusable JSONL/SQLite data.
Harness self-evolution: update targets, theory, evaluation, and reported evidence. Bilingual reading list and project website.
TranslatedA basic tutorial for getting started with AI Agents from zero background. It is not just a tutorial but also an Agent that can run locally: read and write files, execute commands, MCP, long-term memory, with a built-in web interface to see every step clearly. Starting from a minimal 100-line loop, each lesson adds one capability, and in the end it breaks down mainstream Agents such as Claude Code and Codex
TranslatedLLM teaching material for high school students: based on Karpathy's microgpt, for Google Colab
TranslatedBuild GPT-2 from scratch in PyTorch, step by step
AI Roadmap 2026: a beginner's path through Foundations, LLM Engineering, Agents, Evaluation, and Production, with verified free resources and a mini-project per layer
The World's Most Comprehensive, Authoritative, and Structured Open Source Data Source Knowledge Base
Translated🐋 Complete guide in Russian: how to install and run DeepSeek locally (V4, R1) on PC, Mac and server — Ollama, llama.cpp, LM Studio, vLLM, Open WebUI, API, RAG, agents, fine-tuning, best tips and tricks
Free Course : Data, Machine Learning, Deep Learning and AI Engineering, the long way round: the math, the code, the systems and the security. 173 lessons, 166 runnable labs, no shortcuts. Free under CC BY-NC 4.0.
Safety in Embodied AI: A Survey of Risks, Attacks, and Defenses | 500+ Papers | Perception, Cognition, Planning, Interaction, Agentic System