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⚙️🦀 Build portable, modular & lightweight Fullstack Agents
The most advanced AI retrieval system. Containerized, Retrieval-Augmented Generation (RAG) with a RESTful API.
Official repo for paper "Structured 3D Latents for Scalable and Versatile 3D Generation".
Client-side HTML-to-PDF rendering using pure JS.
Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)
A CLI tool to convert your codebase into a single LLM prompt with source tree, prompt templating, and token counting.
A lightweight, low-dependency, unified API to use all common reranking and cross-encoder models.
A suite of tools to develop RAG, semantic search, and other AI applications more easily with PostgreSQL
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
Inference code for the paper "Spirit-LM Interleaved Spoken and Written Language Model".
On-device Speech Recognition for Apple Silicon
Calculate token/s & GPU memory requirement for any LLM. Supports llama.cpp/ggml/bnb/QLoRA quantization
[CCS'24] A dataset consists of 15,140 ChatGPT prompts from Reddit, Discord, websites, and open-source datasets (including 1,405 jailbreak prompts).
📦 Repomix (formerly Repopack) is a powerful tool that packs your entire repository into a single, AI-friendly file. Perfect for when you need to feed your codebase to Large Language Models (LLMs) o…
Representation Engineering: A Top-Down Approach to AI Transparency
High-performance retrieval engine for unstructured data
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…
real time face swap and one-click video deepfake with only a single image
Set up your own OpenVPN server on Debian, Ubuntu, Fedora, CentOS or Arch Linux.
The official GitHub page for the survey paper "A Survey on Evaluation of Large Language Models".
Fast lexical search implementing BM25 in Python using Numpy, Numba and Scipy
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
A framework for prompt tuning using Intent-based Prompt Calibration
An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
TrustRAG：The RAG Framework within Reliable input,Trusted output