EditWorld: Simulating World Dynamics for Instruction-Following Image Editing

An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.

✨✨Latest Papers and Datasets on Multimodal Large Language Models, and Their Evaluation.

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

This repo contains a list of channels and sources from where LLMs should be learned

[NeurIPS'23] "MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing".

Code for "FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models (ACL 2024)"

[Arxiv 2024] Official Implementation of the paper: "InstrAug: Automatic Instruction Augmentation for Multimodal Instruction Fine-tuning"

Must-read Papers on LLM Agents.

[ICLR 2024] Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models

An Open-sourced Knowledgable Large Language Model Framework.

Awesome Instruction Editing. Image and Media Editing with Human Instructions. Instruction-Guided Image and Media Editing.

This repository collects papers for "A Survey on Knowledge Distillation of Large Language Models". We break down KD into Knowledge Elicitation and Distillation Algorithms, and explore the Skill & Vertical Distillation of LLMs.

PhoGPT: Generative Pre-training for Vietnamese (2023)

A collection of ChatGPT and GPT-3.5 instruction-based prompts for generating and classifying text.

Code and documentation to train Stanford's Alpaca models, and generate the data.

A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.

Code for "Lion: Adversarial Distillation of Proprietary Large Language Models (EMNLP 2023)"

Code and models of MOCA (Modular Object-Centric Approach) proposed in "Factorizing Perception and Policy for Interactive Instruction Following" (ICCV 2021). We address the task of long horizon instruction following with a modular architecture that decouples a task into visual perception and action policy prediction.

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