The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, and more.

☁️ Build multimodal AI applications with cloud-native stack

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

library & platform to build, distribute, monetize ai apps that have the full context (like rewind, granola, etc.), open source, 100% local, developer friendly. 24/7 screen, mic, keyboard recording and control

Visualize streams of multimodal data. Free, fast, easy to use, and simple to integrate. Built in Rust.

The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!

AI suite powered by state-of-the-art models and providing advanced AI/AGI functions. It features AI personas, AGI functions, multi-model chats, text-to-image, voice, response streaming, code highlighting and execution, PDF import, presets for developers, much more. Deploy on-prem or in the cloud.

This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

notes for software engineers getting up to speed on new AI developments. Serves as datastore for https://latent.space writing, and product brainstorming, but has cleaned up canonical references under the /Resources folder.

Use PEFT or Full-parameter to finetune 400+ LLMs (Qwen2.5, Llama3.2, GLM4, Internlm2.5, Yi1.5, Mistral, Baichuan2, DeepSeek, ...) and 150+ MLLMs (Qwen2-VL, Qwen2-Audio, Llama3.2-Vision, Llava, InternVL2.5, MiniCPM-V-2.6, GLM4v, Xcomposer2.5, Yi-VL, DeepSeek-VL2, Phi3.5-Vision, GOT-OCR2, ...).

Build real-time multimodal AI applications 🤖🎙️📹

Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%

The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework Join our Community: https://discord.gg/jM3Z6M9uMq

Fengshenbang-LM(封神榜大模型)是IDEA研究院认知计算与自然语言研究中心主导的大模型开源体系，成为中文AIGC和认知智能的基础设施。

Curated tutorials and resources for Large Language Models, AI Painting, and more.

TEN Agent is a conversational AI powered by the TEN, integrating Gemini 2.0 Live, OpenAI Realtime, RTC, and more. It delivers real-time capabilities to see, hear, and speak, while being fully compatible with popular workflow platforms like Dify and Coze.

🪩 Create Disco Diffusion artworks in one line