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Search results for gpt 4 multimodal

16 search results found

Llava ⭐ 12,514

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

Interngpt ⭐ 2,976

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)

Next Gpt ⭐ 2,602

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

Awesome Llm Reasoning ⭐ 1,035

Papers and resources on Reasoning in Language Models (LLMs), including Chain-of-Thought, Instruction-Tuning, Multimodality.

Data Juicer ⭐ 994

A one-stop data processing system to make data higher-quality, juicier, and more digestible for LLMs! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷为大语言模型提供更高质量、更丰富、更易”消化“的数据！

Multimodal Gpt ⭐ 971

Internlm Xcomposer ⭐ 820

Ai Employe ⭐ 403

Create browser automation as if you were teaching a human using GPT-4 Vision.

Pointllm ⭐ 276

[arXiv 2023] PointLLM: Empowering Large Language Models to Understand Point Clouds

Lrv Instruction ⭐ 160

[ICLR'24] Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning

Code/Data for the paper: "LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding"

Andromeda ⭐ 92

An all-new Language Model That Processes Ultra-Long Sequences of 100,000+ Ultra-Fast

Vip Llava ⭐ 81

ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts

Unofficial implementation and experiments related to Set-of-Mark (SoM) 👁️

Jailbreaking Large Vision-language Models via Typographic Visual Prompts

Llava Docker ⭐ 32

Docker image for LLaVA: Large Language and Vision Assistant

Data and code for paper "M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models"

Prompt Engineering and Dev-Ops toolkit for applications powered by Language Models

TagGPT: A simple ChatGPT based multimodal dialog generation engine that can "see/draw" and "hear/speak"

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