CMMLU: Measuring massive multitask language understanding in Chinese

RAG 论文学习

RAGChecker: A Fine-grained Framework For Diagnosing RAG

武汉大学毕业论文 LaTeX 模版 2025

本项目设计了一个基于 RAG 与大模型技术的医疗问答系统，利用 DiseaseKG 数据集与 Neo4j 构 建知识图谱，结合 BERT 的命名实体识别和 34b 大模型的意图识别，通过精确的知识检索和问答生成， 提升系统在医疗咨询中的性能，解决大模型在医疗领域应用的可靠性问题。

Bringing together outstanding artificial intelligence (AI) open source projects from around the world.

RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

Question and Answer based on Anything.

复现大模型相关算法及一些学习记录

主要记录大语言大模型（LLMs） 算法（应用）工程师相关的知识及面试题

Aligning pretrained language models with instruction data generated by themselves.

Code and documentation to train Stanford's Alpaca models, and generate the data.

FastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities such as data processing, RAG retrieval, and visual AI workflow orchestration, le…

s1: Simple test-time scaling

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

EC-LLM: Low-cost, Low-latency, High-quality Large Language Model Inference Based on Edge-cloud Collaboration

This repository contains the code for the paper: GKT: A Novel Guidance-Based Knowledge Transfer Framework For Efficient Cloud-edge Collaboration LLM Deployment

Machine Learning Resources, Practice and Research

《ChatGPT原理与实战：大型语言模型的算法、技术和私有化》

基于Spark的电影推荐系统，包含爬虫项目、web网站、后台管理系统以及spark推荐系统

兜哥出品 <一本开源的NLP入门书籍>

该仓库主要记录 NLP 算法工程师相关的面试题

算法工程师-机器学习面试题总结

Question Answering over Multiple and Heterogeneous Knowledge Bases

CS224n Reading Notes in Chinese 中文阅读笔记

NLP新手入门教程

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

📖 [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题，网站已下线！！】

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

OReilly Hands On Machine Learning with Scikit Learn and TensorFlow (Sklearn与TensorFlow机器学习实用指南)