Code for "Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate"

code for paper Hierarchical Retrieval-Augmented Generation Model with Rethink for Multi-hop Question Answering

Code for Robust Fine-tuning (RbFT)

Awesome-LLM-RAG: a curated list of advanced retrieval augmented generation (RAG) in Large Language Models

基于200万条医疗数据对DeepSeek-R1-Distill-Qwen-32B进行fine tune且部署

This is the official repository for Auto-RAG.

Official repository for the paper "NeuZip: Memory-Efficient Training and Inference with Dynamic Compression of Neural Networks". This repository contains the code for the experiments in the paper.

Official codebase for "Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling".

SOTA RL fine-tuning solution for advanced math reasoning of LLM

The RedPajama-Data repository contains code for preparing large datasets for training large language models.

Robust recipes to align language models with human and AI preferences

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Free ChatGPT API Key，免费ChatGPT API，支持GPT4 API（免费），ChatGPT国内可用免费转发API，直连无需代理。可以搭配ChatBox等软件/插件使用，极大降低接口使用成本。国内即可无限制畅快聊天。

Rethinking Chain-of-Thought from the Perspective of Self-Training

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

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

A library for advanced large language model reasoning

This repository contains sources about reinforcement learning human feedback for math reasoning,.

[EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".

open-source code for paper: Retrieval Head Mechanistically Explains Long-Context Factuality

Litex: A Minimalist Proof Assistant

A Comprehensive Toolkit for High-Quality PDF Content Extraction

A high-quality tool for convert PDF to Markdown and JSON.一站式开源高质量数据提取工具，将PDF转换成Markdown和JSON格式。

大模型基础: 一文了解大模型基础知识

《动手学大模型Dive into LLMs》系列编程实践教程

A curated list of LLM Interpretability related material - Tutorial, Library, Survey, Paper, Blog, etc..