Awesome things about LLM-powered agents. Papers / Repos / Blogs / ...

A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 and reasoning techniques.

Awesome-LLM: a curated list of Large Language Model

The official repository of our survey paper: "Towards a Unified View of Preference Learning for Large Language Models: A Survey"

[COLM'24] Investigating Instruction Tuning Large Language Models on Graphs

A simple pip-installable Python tool to generate your own HTML citation world map from your Google Scholar ID.

CoreNet: A library for training deep neural networks

Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)

Efficiently Fine-Tune 100+ LLMs in WebUI (ACL 2024)

Repository for Meta Chameleon, a mixed-modal early-fusion foundation model from FAIR.

An Easy-to-use, Scalable and High-performance RLHF Framework (70B+ PPO Full Tuning & Iterative DPO & LoRA & Mixtral)

Go ahead and axolotl questions

LLM training in simple, raw C/CUDA

DocGenome: An Open Large-scale Scientific Document Benchmark for Training and Testing Multi-modal Large Models

Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".

VideoNIAH: A Flexible Synthetic Method for Benchmarking Video MLLMs

A native PyTorch Library for large model training

To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.

LLM inference in C/C++

⚡FlashRAG: A Python Toolkit for Efficient RAG Research

Video datasets

Open-Sora: Democratizing Efficient Video Production for All

A curated list of papers and resources about multimodal learning on graphs.

Retrieval and Retrieval-augmented LLMs

Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy (WWW'24)

[ICLR 2024] Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond

Code and data for "Lost in the Middle: How Language Models Use Long Contexts"

Robust recipes to align language models with human and AI preferences

Listing of papers about machine learning for proteins.