☁️ Build multimodal AI applications with cloud-native stack
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Updated
Sep 5, 2024 - Python
☁️ 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)
The easiest way to serve AI apps and models - Build reliable Inference APIs, LLM apps, Multi-model chains, RAG service, and much more!
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
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。
🪩 Create Disco Diffusion artworks in one line
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
Use PEFT or Full-parameter to finetune 300+ LLMs or 80+ MLLMs. (Qwen2, GLM4v, Internlm2.5, Yi, Llama3.1, Llava-Video, Internvl2, MiniCPM-V-2.6, Deepseek, Baichuan2, Gemma2, Phi3-Vision, ...)
Code and models for NExT-GPT: Any-to-Any Multimodal Large Language Model
InternGPT (iGPT) is an open source demo platform where you can easily showcase your AI models. Now it supports DragGAN, ChatGPT, ImageBind, multimodal chat like GPT-4, SAM, interactive image editing, etc. Try it at igpt.opengvlab.com (支持DragGAN、ChatGPT、ImageBind、SAM的在线Demo系统)
Foundation Architecture for (M)LLMs
Represent, send, store and search multimodal data
Mobile-Agent: The Powerful Mobile Device Operation Assistant Family
InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output
Official repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework
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