Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

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

✨✨Latest Advances on Multimodal Large Language Models

The official GitHub page for the survey paper "A Survey of Large Language Models".

Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷

Aligning pretrained language models with instruction data generated by themselves.

Instruction Tuning with GPT-4

Code and models for ICML 2024 paper, NExT-GPT: Any-to-Any Multimodal Large Language Model

🦦 Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on MIMIC-IT and showcasing improved instruction-following and in-context learning ability.

【EMNLP 2024🔥】Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

总结Prompt&LLM论文，开源数据&模型，AIGC应用

InternLM-XComposer2.5-OmniLive: A Comprehensive Multimodal System for Long-term Streaming Video and Audio Interactions

We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts to initiate any meaningful PR on this repo and integrate as many LLM related technologies as possible. 我们打造了方便研究人员上手和使用大模型等微调平台，我们欢迎开源爱好者发起任何有意义的pr！

mPLUG-Owl: The Powerful Multi-modal Large Language Model Family

Cambrian-1 is a family of multimodal LLMs with a vision-centric design.

[ECCV2024] Video Foundation Models & Data for Multimodal Understanding

Synthetic data curation for post-training and structured data extraction

An Open-sourced Knowledgable Large Language Model Framework.

A collection of open-source dataset to train instruction-following LLMs (ChatGPT,LLaMA,Alpaca)

DataDreamer: Prompt. Generate Synthetic Data. Train & Align Models.   🤖💤