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

In this tutorial, we will give you the whole chain of large models fine-tuning. Especially, we would give you an example of how to use **QLoRA** technique to turn the general model ...

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 ...

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 ...

As SQL development increasingly becomes part of full-stack workflows, developers are looking for ways to simplify their tooling without compromising capability. While SQL Server Management Studio ...

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 ...