Awesome Digital Human

This project is a collection of fine-tuning scripts to help researchers fine-tune Qwen 2 VL on HuggingFace datasets.

Lighter, cheaper and faster RAG toolkit (Graph RAG) supported by TargetPilot

企业级RAG系统从入门到精通

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

Converted the Jina Tokenizer regex pattern to python.

A simple, easy-to-hack GraphRAG implementation

Curated tutorials and resources for Large Language Models, Text2SQL, Text2DSL、Text2API、Text2Vis and more.

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…

A collection of autonomous agents 🤖️ powered by LLM.

A curated list of AWESOME papers, datasets and tutorials within Multimodal Knowledge Graph.

Digital Avatar Conversational System - Linly-Talker. 😄✨ Linly-Talker is an intelligent AI system that combines large language models (LLMs) with visual models to create a novel human-AI interaction…

本项目是针对RAG中的Retrieve阶段的召回技术及算法效果所做评估实验。使用主体框架为LlamaIndex.

基于BM25、BGE、OpenAI Embedding检索算法的检索增强生成RAG示例，支持OpenAI风格的大模型服务

a collection of resources around LLMs, aggregated for the workshop "Mastering LLMs: End-to-End Fine-Tuning and Deployment" by Dan Becker and Hamel Husain"

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。

💬 基于 LLM 大语言模型的知识库问答系统。开箱即用，支持快速嵌入到第三方业务系统，1Panel 官方出品。

Qwen1.5-SFT(阿里, Ali), Qwen_Qwen1.5-2B-Chat/Qwen_Qwen1.5-7B-Chat微调(transformers)/LORA(peft)/推理

基于qwenvl微调一个多模态Xray识别的大模型

Must-read papers on graph foundation models (GFMs)

基于ChatGLM-6B模型，进行下游具体任务微调，涉及Freeze、Lora、P-tuning等

Fast instruction tuning with Llama2

Jupyter notebooks that support my graph data science blog posts at https://bratanic-tomaz.medium.com/

High Accuracy and efficiency multi-task fine-tuning framework for Code LLMs

图解计算机网络、操作系统、计算机组成、数据库，共 1000 张图 + 50 万字，破除晦涩难懂的计算机基础知识，让天下没有难懂的八股文！🚀 在线阅读：https://xiaolincoding.com

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering