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 ...

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 ...

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 ...

Using large language models to build generative AI applications comes with new challenges. A key issue is ensuring response quality (accuracy and relevance) in content generated by the model for a ...

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 ...