AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents

The platform for building AI from enterprise data

An LLM Based Diagnosis System (https://arxiv.org/pdf/2312.01454.pdf)

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

为GPT/GLM提供图形交互界面，特别优化论文阅读润色体验，模块化设计支持自定义快捷按钮&函数插件，支持代码块表格显示，Tex公式双显示，新增Python和C++项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持清华chatglm等本地模型

Evaluate the accuracy of LLM generated outputs

esProc SPL is a scripting language for data processing, with well-designed rich library functions and powerful syntax, which can be executed in a Java program through JDBC interface and computing i…

This repo includes ChatGPT prompt curation to use ChatGPT better.

Specify what you want it to build, the AI asks for clarification, and then builds it.

🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

Benchmarking large language models' complex reasoning ability with chain-of-thought prompting

“连续六年成为全世界最受喜爱的语言，无 GC 也无需手动内存管理、极高的性能和安全性、过程/OO/函数式编程、优秀的包管理、JS 未来基石" — 工作之余的第二语言来试试 Rust 吧。<<Rust语言圣经>>拥有全面且深入的讲解、生动贴切的示例、德芙般丝滑的内容，甚至还有JS程序员关注的 WASM 和 Deno 等专题。这可能是目前最用心的 Rust 中文学习教程 / Book

🔥LeetCode solutions in any programming language | 多种编程语言实现 LeetCode、《剑指 Offer（第 2 版）》、《程序员面试金典（第 6 版）》题解

FastAPI framework, high performance, easy to learn, fast to code, ready for production

DB-BERT tunes database systems for optimal performance, using tuning hints mined from text.

A customized and efficient database tuning system [VLDB'22]

Supplementary Material for "LlamaTune: Sample-Efficient DBMS Configuration Tuning"

learn_rust_rustlings-PKUFlyingPig created by GitHub Classroom

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

xv6 lab

hints for xv6 lab in installing and doing

An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

Issues found on WSL

Generalized and Efficient Blackbox Optimization System