"GraphAgent: Agentic Graph Language Assistant"

Aria-UI: Visual Grounding for GUI Instructions

OpenChat: Advancing Open-source Language Models with Imperfect Data

Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs (ACL 2024)

[ICML'2024] "FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction"

[KDD'2024] "LLM4Graph: A Survey of Large Language Models for Graphs"

[NeurIPS 2024] OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments

FreeAskInternet is a completely free, PRIVATE and LOCALLY running search aggregator & answer generate using MULTI LLMs, without GPU needed. The user can ask a question and the system will make a mu…

LLM training in simple, raw C/CUDA

A Comprehensive Survey of Self-Supervised Learning for Recommendation

Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language Models"

[COLM'24] We propose Protein Chain of Thought (ProCoT), which replicates the biological mechanism of signaling pathways as language prompts. It considers a signaling pathway as a protein reasoning …

ScreenAgent: A Computer Control Agent Driven by Visual Language Large Model (IJCAI-24)

A natural language interface for computers

Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.

A curated collection of research papers exploring the utilization of LLMs for graph-related tasks.

Chronos: Pretrained Models for Probabilistic Time Series Forecasting

Open-Sora: Democratizing Efficient Video Production for All

GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection

Source code for InBedder, an instruction-following text embedder

Autonomous Agents (LLMs) research papers. Updated Daily.

Build resilient language agents as graphs.

[ICML2024] "LLaGA: Large Language and Graph Assistant", Runjin Chen, Tong Zhao, Ajay Jaiswal, Neil Shah, Zhangyang Wang

[WWW'2024] "RLMRec: Representation Learning with Large Language Models for Recommendation"

A foundation model for knowledge graph reasoning

MedicalGPT: Training Your Own Medical GPT Model with ChatGPT Training Pipeline. 训练医疗大模型，实现了包括增量预训练(PT)、有监督微调(SFT)、RLHF、DPO、ORPO。

Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM

Modeling, training, eval, and inference code for OLMo