GitHub

Fine-Tuning LLM for SQL Query Generation

This repository is dedicated to fine-tuning the Phi-3 large language model (LLM) for the specific task of SQL query generation. The process involves using the 'unsloth' technique for enhanced ...
Microsoft

Budget-aware Query Tuning: An AutoML Perspective

Modern database systems rely on cost-based query optimizers to come up with good execution plans for input queries. Such query optimizers rely on cost models to estimate the costs of candidate query ...
GitHub

Advanced SQL for Query Tuning and Performance Optimization

This is the repository for the LinkedIn Learning course Advanced SQL for Query Tuning and Performance Optimization. The full course is available from LinkedIn Learning. SQL queries can be fast and ...
dbta

SQL Monitor by Redgate Remediates Intricacies of Query Tuning

Redgate, the Database DevOps solutions provider, is launching upgrades to its SQL Server performance monitoring tool, strengthening its query tuning and optimization functions to facilitate enhanced ...
IEEE

A Query-Level Distributed Database Tuning System with Machine Learning

Abstract: Knob tuning is important to improve the performance of database management system. However, the traditional manual tuning method by DBA is time-consuming and error-prone, and can not meet ...
IEEE

Query Tuning in Semantic Inference Fuzzy Logic Algorithm for Real-Time Recommendations

Abstract: The query tuning, which is mostly found in the syntax semantics of fuzzy logic inference algorithms, uses the query syntax of the boolean data type. Fuzzy logic inference is converted using ...