CodeZen
一个专注中文区的 GitHub 项目发现
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contextgem
ContextGem: Effortless LLM extraction from documents
evaluation-guidebook
Sharing both practical insights and theoretical knowledge about LLM evaluation that we gathered while managing the Open LLM Leaderboard and designing lighteval!
WritingTools
The world's smartest system-wide grammar assistant; a better version of the Apple Intelligence Writing Tools. Works on Windows, Linux, & macOS, with the free Gemini API, local LLMs, & more.
vulnhuntr
Zero shot vulnerability discovery using LLMs
SageAttention
[ICLR2025, ICML2025, NeurIPS2025 Spotlight] Quantized Attention achieves speedup of 2-5x compared to FlashAttention, without losing end-to-end metrics across language, image, and video models.
text-extract-api
Document (PDF, Word, PPTX ...) extraction and parse API using state of the art modern OCRs + Ollama supported models. Anonymize documents. Remove PII. Convert any document or picture to structured JSON or Markdown
Sidekick
A native macOS app that allows users to chat with a local LLM that can respond with information from files, folders and websites on your Mac without installing any other software. Powered by llama.cpp.
Integuru
The first AI agent that builds permissionless integrations through reverse engineering platforms' internal APIs.
Prompt_Engineering
This repository offers a comprehensive collection of tutorials and implementations for Prompt Engineering techniques, ranging from fundamental concepts to advanced strategies. It serves as an essential resource for mastering the art of effectively communicating with and leveraging large language models in AI applications.
Janus
Janus-Series: Unified Multimodal Understanding and Generation Models
suna
Kortix – Open Source Platform to Build, Manage and Train AI Agents **The complete platform for creating autonomous AI agents that work for you** Kortix is a comprehensive open source platform that empowers you to build, manage, and train sophisticated AI agents for any use case. Create powerful
LightRAG
🚀 LightRAG: Simple and Fast Retrieval-Augmented Generation --- 🎉 News - x 2025.11.05🎯📢Add **RAGAS-based** Evaluation Framework and **Langfus