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Self-Evolved Diverse Data Sampling for Efficient Instruction Tuning
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
The official GitHub page for the survey paper "A Survey of Large Language Models".
An Efficient Enterprise-class Container Engine
Aligning pretrained language models with instruction data generated by themselves.
Instruction Tuning with GPT-4
Code and models for 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