{"repo":"SolidLao/GPTuner","free":true,"listed":false,"github":"https://github.com/SolidLao/GPTuner","clone":"git clone https://github.com/SolidLao/GPTuner.git","description":"GPTuner is a manual-reading database tuning system leveraging domain knowlege automatically and extensively to enhance knob tuning process.","language":"Python","stars":129,"topics":["bayesian-optimization","data-processing","database","domain-knowledge","llm","structured-data","tuning","unstructured-data"],"license":null,"category":"databases-storage","readme_excerpt":"GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization - GPTuner has been selected for the 🏆 SIGMOD Research Highlight Award 2024! 🏆 - Ten papers are selected this year - These papers are available in the SIGMOD Record - This repository hosts the source code and supplementary materials for our: - SIGMOD Research Highlight Award, GPTuner: An LLM-Based Database Tuning System - VLDB 2024 submission (accepted), GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization - SIGMOD 2024 Demo submission (accepted), A Demonstration of GPTuner: A GPT-Based Manual-Reading Database Tuning System - GPTuner collects and refines heterogeneous domain knowledge, unifies a structured view of the refined knowledge, and uses the knowlege to (1) select important knobs, (2) optimize the value range of each knob and (3) explore the optimized space with a novel Coarse-to-Fine Bayesian Optimization Framework. - A video demonstration is available at YouTube! - The two datasets mentioned in the paper for evaluating LLMs are available at Google Drive Stay tuned for the latest updates and enhancements in this project! 🚀 Remember to star ⭐ and subscribe 🔔 for the newest features and improvements! Table of Contents - System Overview - Quick Start - Demo Guidance - Experimental Results - Code Structure - Roadmap - Citation System Overview GPTuner is a manual-reading database tuning system to suggest satisfactory knob configurations with reduced tu","default_branch":null,"files":null,"tree":[],"storefront":"/r/SolidLao","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/SolidLao/GPTuner/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}