Abstract: Recent work has shown that fine-tuning LLMs with synthetic data improves text-to-SQL performance. However, synthetic data for in-context learning (ICL) remains underexplored. Existing data ...

If you’re going online to buy some last-minute gifts this holiday season, there’s a chance the price you pay will be influenced by what’s known as “surveillance pricing.” Some retailers are using ...

There is a lot of enterprise data trapped in PDF documents. To be sure, gen AI tools have been able to ingest and analyze PDFs, but accuracy, time and cost have been less than ideal. New technology ...

Abstract: This paper describes an improved data recovery method that enables complete data recovery by periodically transferring the. ibd files of a MySQL database via FTP. Compared with the ...

ABSTRACT: In the context of power generation companies, vast amounts of specialized data and expert knowledge have been accumulated. However, challenges such as data silos and fragmented knowledge ...

The performance and reliability of converting natural language into structured query language can be problematic in handling nuances that are prevalent in natural language. Relational databases are ...

Data Mapper is a powerful Java library that offers a comprehensive solution for parsing, transforming, and mapping JSON or XML files to Java beans, driven by a given set of rules. It is designed to ...

Parsing, also referred to as data wrangling, can be a time-consuming process, but it’s worth it to have clean, organized data. Keep reading to learn more about data parsing. But what is the definition ...

This repository converts raw data files from multiple sensors to a structured Time-Series database. The image below describes the pipeline: . Raw sensor data could ...