The Paradigm Shift in LLM Application Development and the Necessity of EvaluationDeveloping applications centered on Large ...
What building a conversational AI agent that could query internal infrastructure metrics taught us about the importance of ...
Kylie Jenner—who has been dating Timothée Chalamet since 2023—reacted to speculations that she is pregnant with her third baby: "I just don't feel the need to say anything ever." ...
Apple on Tuesday unveiled two chips that bracket the desktop AI compute market: the M6, its first processor built on a 2-nanometer fabrication process, and the M5 Ultra, its first quad-die silicon ...
Existing index tuners typically rely on the ”what if” API provided by the query optimizer to estimate the execution cost of a query on top of an index configuration. Such cost estimates can be ...
In the modern data landscape, query performance tuning and managing system price-performance is challenging, especially as the number of agentic workloads increase. Even for experienced developers and ...
A popular performance tuning book gets updated for SQL Server 2025, how does it fare? Ian Stirk takes and in depth look and finds it pretty good. This well-liked SQL Server book examines performance ...
This article is part of my noob series where we write about the questions people Google most but may not understand well because of complex math and everything. So, if you are here, you might have ...
In this tutorial, we explore the Open-SWE-Traces dataset as a practical resource for studying and preparing agentic software-engineering trajectories for fine-tuning. We stream the dataset directly ...
In this tutorial step, you query your graph by using the visual query builder. The query builder provides an interactive way to explore your graph by selecting nodes and relationships. You can also ...
LLM fine tuning is the process of adapting a pre-trained model on a task-specific dataset to improve accuracy, reduce hallucinations, and produce outputs that reflect domain-specific knowledge not ...