ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

Reverse engineered API of Microsoft's Bing Chat AI

VizTracer is a low-overhead logging/debugging/profiling tool that can trace and visualize your python code execution.

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

A curated list of data mining papers about fraud detection.

Code for the paper Fine-Tuning Language Models from Human Preferences

Code for 'LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders'

AgentSims is an easy-to-use infrastructure for researchers from all disciplines to test the specific capacities they are interested in.

Repository hosting code used to reproduce results in "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).

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

An open-source framework for self-supervised recommender systems.

Code and datasets for "Character-LLM: A Trainable Agent for Role-Playing"

[WSDM'2024 Oral] "SSLRec: A Self-Supervised Learning Framework for Recommendation"

[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"

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

🐙Octopus, an embodied vision-language model trained with RLEF, emerging superior in embodied visual planning and programming.

[SIGIR 2024 perspective] The implementation of paper "On Generative Agents in Recommendation"

Codebase for reproducing the experiments of the semantic uncertainty paper (short-phrase and sentence-length experiments).

[KDD'22] Official PyTorch implementation for "Towards Universal Sequence Representation Learning for Recommender Systems".

Scripts for processing the Amazon Reviews 2023 dataset; implementations and checkpoints of BLaIR: "Bridging Language and Items for Retrieval and Recommendation".

(WWW'24) The first RS that tightly combines LLM with ID-based RS.

A generalized framework for subspace tuning methods in parameter efficient fine-tuning.

[EMNLP'2024] "XRec: Large Language Models for Explainable Recommendation"