AI reasoning does not necessarily require spending huge amounts on frontier models. Instead, smaller models can yield ...

MsSQL Toad is a professional-grade database management and administration tool built specifically for Microsoft SQL Server environments. It provides advanced access to database modules, enabling deep ...

In this tutorial, we demonstrate how to efficiently fine-tune a large language model using Unsloth and QLoRA. We focus on building a stable, end-to-end supervised fine-tuning pipeline that handles ...

Abstract: The growing volume of performance-critical parameters in distributed storage systems, coupled with diverse and dynamic workload patterns, has significantly increased the complexity of system ...

Background: Acquired brain injury (ABI) is a leading global cause of morbidity, affecting millions, many of whom face a diverse range of cognitive, physical, and psychological challenges, often made ...

In this tutorial, we build an advanced Agentic Retrieval-Augmented Generation (RAG) system that goes beyond simple question answering. We design it to intelligently route queries to the right ...

In a modern enterprise data environment, the increasing volume of data, distributed architecture, and complex application dependencies challenge traditional query-tuning methods. Observability ...

1 School of Nursing, Yale University, Orange, CT, United States 2 Department of Computer Science, School of Engineering and Applied Science, Yale University, New Haven, CT, United States Background: ...

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 ...

This is a "manual" version of the existing automatic query tuning. This would use "profile location" rather than the calling stack trace (So tuning per query location rather than call stack). The ...