🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄.

Replace OpenAI GPT with another LLM in your app by changing a single line of code. Xinference gives you the freedom to use any LLM you need. With Xinference, you're empowered to run inference with …

depyf is a tool to help you understand and adapt to PyTorch compiler torch.compile.

Retrieval and Retrieval-augmented LLMs

Minimalistic large language model 3D-parallelism training

A native PyTorch Library for large model training

Accelerate your web app development | Build fast. Run fast.

「大模型」3小时完全从0训练一个仅有26M的小参数GPT，个人显卡即可推理训练！

A repo with an automated prompt engineering workflow from scratch. It leverages the OPRO technique.

该项目是为了使用layoutlmv3针对中文图片训练和推理。 其中主要解决三个问题： 1.数据标准化成可以的训练数据集格式 2.layoutlmv3-base-chinese 分词修改 2.超过512长度的文本切分和滑窗操作

遗传算法解决旅行商（TSP）问题

通过遗传算法求解物流配送路径问题

Convert code repos into an LLM prompt-friendly format. Mostly built by GPT-4.

Qwen2 is the large language model series developed by Qwen team, Alibaba Cloud.

Agent framework and applications built upon Qwen>=2.0, featuring Function Calling, Code Interpreter, RAG, and Chrome extension.

LMDeploy is a toolkit for compressing, deploying, and serving LLMs.

nanoGPT style version of Llama 3.1

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

一些整理自网络的，基于项目小案例的OpenCV应用.

DataComp for Language Models

交易模块

Data-Copilot: Bridging Billions of Data and Humans with Autonomous Workflow

A modular graph-based Retrieval-Augmented Generation (RAG) system

VisionLLaMA: A Unified LLaMA Backbone for Vision Tasks

《C++ Primer Plus 第6版（中文版）》原书代码、习题答案和个人笔记，仅供学习和交流。

搞定C++:punch:。C++ Primer 中文版第5版学习仓库，包括笔记和课后练习答案。

Demos for deep learning

This is an implementation of the paper: Searching for Best Practices in Retrieval-Augmented Generation