Stars
verl: Volcano Engine Reinforcement Learning for LLMs
Fully open reproduction of DeepSeek-R1
XRAG: eXamining the Core - Benchmarking Foundational Component Modules in Advanced Retrieval-Augmented Generation
What would you do with 1000 H100s...
Fast and memory-efficient exact attention
Accelerating the development of large multimodal models (LMMs) with one-click evaluation module - lmms-eval.
StreamingBench: Assessing the Gap for MLLMs to Achieve Streaming Video Understanding
✨✨Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis
[EMNLP 2024: Demo Oral] RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented Generation
This includes the original implementation of SELF-RAG: Learning to Retrieve, Generate and Critique through self-reflection by Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, and Hannaneh Hajishirzi.
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
中文nlp解决方案(大模型、数据、模型、训练、推理)
High level Python client for Elasticsearch
Free and Open Source, Distributed, RESTful Search Engine
[EMNLP 2024 Oral] MatchTime: Towards Automatic Soccer Game Commentary Generation
Generative Representational Instruction Tuning
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.