AI Agent Skills

⚙️🦀 Build modular and scalable LLM Applications in Rust

https://adongwanai.github.io/AgentGuide | AI Agent开发指南 | LangGraph实战 | 高级RAG | 转行大模型 | 大模型面试 | 算法工程师 | 面试题库 | 强化学习｜数据合成

Pocket Flow: Codebase to Tutorial

Low-code framework for building custom LLMs, neural networks, and other AI models

📚 从零开始构建大模型

The open-source LLMOps platform: prompt playground, prompt management, LLM evaluation, and LLM observability all in one place.

AI powered open source recommender system engine supports classical/LLM rankers and multimodal content via embedding

Seamlessly integrate LLMs into scikit-learn.

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop — all throug…

ML.NET is an open source and cross-platform machine learning framework for .NET.

Framework for AI agents to build and maintain a digital brain through Obsidian wiki using Karpathy's LLM Wiki pattern

ReMe: Memory Management Kit for Agents - Remember Me, Refine Me.

High accuracy RAG for answering questions from scientific documents with citations

🔍大模型应用开发实战一：RAG 技术全栈指南，在线阅读地址：https://datawhalechina.github.io/all-in-rag/

Accessible large language models via k-bit quantization for PyTorch.