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

☁️ Build multimodal AI applications with cloud-native stack

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

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

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)

24/7 local AI screen & mic recording. Works with Ollama. Llama3.2 control your computer. Alternative to Rewind.ai & Zapier. Open. Secure. You own your data. Rust.

The easiest way to serve AI apps and models - Build reliable Inference APIs, LLM apps, Multi-model chains, RAG service, and much more!

Visualize streams of multimodal data. Fast, easy to use, and simple to integrate. Built in Rust using egui.

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

Generative 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)

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.

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

Fengshenbang-LM(封ふう神しん榜大模型もけい)是ぜIDEA研究けんきゅう院いん认知计算与あずか自然しぜん语言研究けんきゅう中心ちゅうしん主ぬし导的大だい模型もけい开源体系たいけい，成なり为中文ぶんAIGC和わ认知智能ちのう的てき基もと础设施ほどこせ。

🪩 Create Disco Diffusion artworks in one line

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

Use PEFT or Full-parameter to finetune 350+ LLMs or 100+ MLLMs. (LLM: Qwen2.5, Llama3.2, GLM4, Internlm2.5, Yi1.5, Mistral, Baichuan2, DeepSeek, Gemma2, ...; MLLM: Qwen2-VL, Qwen2-Audio, Llama3.2-Vision, Llava, InternVL2, MiniCPM-V-2.6, GLM4v, Xcomposer2.5, Yi-VL, DeepSeek-VL, Phi3.5-Vision, ...)

Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.

OpenMMLab Pre-training Toolbox and Benchmark

Code and models for NExT-GPT: Any-to-Any Multimodal Large Language Model