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A modular graph-based Retrieval-Augmented Generation (RAG) system
目标检测yolov5 v6.0版,pytorch实现,标注,增强,训练自定义数据集全流程
The Largest-scale Chinese Medical QA Dataset: with 26,000,000 question answer pairs.
Firefly中文LLaMA-2大模型,支持增量预训练Baichuan2、Llama2、Llama、Falcon、Qwen、Baichuan、InternLM、Bloom等大模型
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
[JMIR Medical Informatics] Automatic Rare Disease Knowledge Graph Construction
[Paper List] Papers integrating knowledge graphs (KGs) and large language models (LLMs)
Empower Large Language Models (LLM) using Knowledge Graph based Retrieval-Augmented Generation (KG-RAG) for knowledge intensive tasks
AIGC-interview/CV-interview/LLMs-interview面试问题与答案集合仓,同时包含工作和科研过程中的新想法、新问题、新资源与新项目
RAGOnMedicalKG,将大模型RAG与KG结合,完成demo级问答,旨在给出基础的思路。
Chat-based SQL Client and Editor for the next decade
airda(Air Data Agent)是面向数据分析的多智能体,能够理解数据开发和数据分析需求、理解数据、生成面向数据查询、数据可视化、机器学习等任务的SQL和Python代码
SoTA LLM for converting natural language questions to SQL queries
Retrieval augmented generation demos with open-source Llama-3.1, 3, 2 / Aya Expanse / Mistral / Zephyr / Gemma
ChatGPT WebUI using gradio. 给 LLM 对话和检索知识问答RAG提供一个简单好用的Web UI界面
机器学习实战案例,涉及机器学习、深度学习等各个方向。每个案例代码量在百行左右。
中文对话0.2B小模型(ChatLM-Chinese-0.2B),开源所有数据集来源、数据清洗、tokenizer训练、模型预训练、SFT指令微调、RLHF优化等流程的全部代码。支持下游任务sft微调,给出三元组信息抽取微调示例。
Question and Answer based on Anything.
Netease Youdao's open-source embedding and reranker models for RAG products.
Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)
a state-of-the-art-level open visual language model | 多模态预训练模型
✨✨Latest Advances on Multimodal Large Language Models
本项目用于文档问答,使用向量嵌入 + ES 做召回,使用Rerank模型作为精排,再使用LLM做文档问答,Web框架使用Flask。
Langchain-Chatchat(原Langchain-ChatGLM)基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and…
Q&A based on elasticsearch+langchain+chatglm2 | 基于elasticsearch,langchain,chatglm2的自有知识库问答
⭐️ NLP Algorithms with transformers lib. Supporting Text-Classification, Text-Generation, Information-Extraction, Text-Matching, RLHF, SFT etc.