DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

GPT4V-level open-source multi-modal model based on Llama3-8B

[NeurIPS 2024] Official implementation for paper "Can Graph Learning Improve Planning in LLM-based Agents?"

Benchmarking Benchmark Leakage in Large Language Models

[ICML 2024] CLLMs: Consistency Large Language Models

[SIGIR'2024] "GraphGPT: Graph Instruction Tuning for Large Language Models"

A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.

Official Implementation of DMT: Dual Mean-Teacher in PyTorch.

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".

Official code for ICLR 2024 paper, "A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation"

Code and dataset for the ICLR 2024 paper "Thought Propagation: An analogical Approach to Complex Reasoning with Large Language Models."

DSPy: The framework for programming—not prompting—foundation models

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

A curated list of papers and resources based on "Large Language Models on Graphs: A Comprehensive Survey"

A collection of AWESOME things about mixture-of-experts

This repository provides an original implementation of Detecting Pretraining Data from Large Language Models by *Weijia Shi, *Anirudh Ajith, Mengzhou Xia, Yangsibo Huang, Daogao Liu , Terra Blevins…

Must-read papers on graph foundation models (GFMs)

Code and models for NExT-GPT: Any-to-Any Multimodal Large Language Model

[ICLR 2023] Codebase for Copy-Generator model, including an implementation of kNN-LM

[TMLR 2024] Efficient Large Language Models: A Survey

Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)

🤖 AgentVerse 🪐 is designed to facilitate the deployment of multiple LLM-based agents in various applications, which primarily provides two frameworks: task-solving and simulation

Awesome papers about unifying LLMs and KGs

🐫 CAMEL: Finding the Scaling Law of Agents. A multi-agent framework. https://www.camel-ai.org