Abstract: The research described in this paper aims to implement a novel SQL query evaluation system, known as the SQL Online Judge (SQLOJ), and conduct mining and analysis on the relevant data ...

Here’s what to know when a legal settlement is paid over time rather than all at once and how it might affect your finances and your future Written By Written by Staff Money Writer, WSJ | Buy Side ...

Objective: Our objective was to evaluate employing Large Language Models (LLMs) to systematically transform the rich, unstructured textual data from AskDocs into a structured dataset, an approach that ...

The way people find and consume information has shifted. We, as marketers, must think about visibility across AI platforms and Google. The challenge is that we don’t have the same ability to control ...

Google’s John Mueller answered a question on Bluesky about whether structured data helps with SEO, which may change how some people think about it. Structured data is like having the directions to a ...

At its Cloud Next conference, Google is showing off a new AI engine for AlloyDB that enables developers to embed natural language questions in SQL queries. Google is enhancing AlloyDB, its fully ...

Domains like social media analysis, e-commerce, and healthcare data management require querying through large chunks of structured and unstructured databases. In this modern world, there has been an ...

With the rapid development of artificial intelligence, large language models (LLMs) have demonstrated remarkable capabilities in natural language understanding and generation. These models have great ...

Many search engines rely on structured data to enhance user experiences – and this trend will likely intensify in 2025. For this reason, structured data is no longer a “nice-to-have” but an essential ...

OpenAI’s structured output feature is transforming the way AI applications are developed and deployed. By ensuring precise and consistent data structures, this advancement is particularly beneficial ...

Large language models (LLMs) are increasingly utilized for complex tasks requiring multiple generation calls, advanced prompting techniques, control flow, and structured inputs/outputs. However, ...