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A modular graph-based Retrieval-Augmented Generation (RAG) system
Multilingual Voice Understanding Model
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)
Awesome speech/audio LLMs, representation learning, and codec models
A local chatbot fine-tuned by bilibili user comments.
On the Hidden Mystery of OCR in Large Multimodal Models (OCRBench)
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
GPT-powered chat for documentation, chat with your documents
Full stack, modern web application template. Using FastAPI, React, SQLModel, PostgreSQL, Docker, GitHub Actions, automatic HTTPS and more.
User-friendly WebUI for LLMs (Formerly Ollama WebUI)
🔍 AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your da…
Kuwa GenAI OS: An open, free, secure, and privacy-focused Generative-AI Orchestrating System.
Mamba-Chat: A chat LLM based on the state-space model architecture 🐍
[ICLR'24 spotlight] An open platform for training, serving, and evaluating large language model for tool learning.
A tool for generating function arguments and choosing what function to call with local LLMs
Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.
DSPy: The framework for programming—not prompting—foundation models
🤯 Lobe Chat - an open-source, modern-design AI chat framework. Supports Multi AI Providers( OpenAI / Claude 3 / Gemini / Ollama / Azure / DeepSeek), Knowledge Base (file upload / knowledge manageme…
[ICML 2024] LLMCompiler: An LLM Compiler for Parallel Function Calling
Come join the best place on the internet to learn AI skills. Use code "clarityai" for an extra 20% off.
Machine Learning Engineering Open Book
A framework for few-shot evaluation of language models.