Stars
The simplest, fastest repository for training/finetuning medium-sized GPTs.
中国程序员容易发音错误的单词
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?
🚀🚀 「大模型」2小时完全从0训练26M的小参数GPT！🌏 Train a 26M-parameter GPT from scratch in just 2h!
New generated dataset for fight detection in surveillance cameras.
Real time Fight Detection Based on 2D Pose Estimation and RNN Action Recognition
[CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4o. 接近GPT-4o表现的开源多模态对话模型
Fully open reproduction of DeepSeek-R1
🤖 A visualization mcp contains 25+ visual charts using @antvis. Using for chart generation and data analysis.
The official Python SDK for Model Context Protocol servers and clients
Synthesizing High-quality Text-to-SQL Data at Scale. SynSQL-2.5M is the first million-scale cross-domain text-to-SQL dataset.
Retrieval and Retrieval-augmented LLMs
⚙️ Create and run workflows (RPA 2.0)
🤯 Lobe Chat - an open-source, modern design AI chat framework. Supports multiple AI providers (OpenAI / Claude 4 / Gemini / DeepSeek / Ollama / Qwen), Knowledge Base (file upload / RAG ), one click…
Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train Qwen3, Llama 4, DeepSeek-R1, Gemma 3, TTS 2x faster with 70% less VRAM.
Awesome Reasoning LLM Tutorial/Survey/Guide
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
Agent S: an open agentic framework that uses computers like a human
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
Build Real-Time Knowledge Graphs for AI Agents
RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry
SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.
An Agentic Deep Research Assistant similar to Gemini and OpenAI Deep Research
Cross-platform, customizable ML solutions for live and streaming media.
Using Large Language Models (LLMs) to convert natural language queries to sql