✨✨Latest Advances on Multimodal Large Language Models
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Updated
Jun 20, 2024
✨✨Latest Advances on Multimodal Large Language Models
This repo contains a list of channels and sources from where LLMs should be learned
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions
An Open-sourced Knowledgable Large Language Model Framework.
EditWorld: Simulating World Dynamics for Instruction-Following Image Editing
Must-read Papers on LLM Agents.
The offical Implementation of "Instruction-Guided Visual Masking"
Is In-Context Learning Sufficient for Instruction Following in LLMs?
Code for "FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models (ACL 2024)"
[NeurIPS'23] "MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing".
[Arxiv 2024] Official Implementation of the paper: "InstrAug: Automatic Instruction Augmentation for Multimodal Instruction Fine-tuning"
[ICLR 2024] Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models
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.
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