Large language models (LLMs) have the potential to significantly reduce this cost and effort. Objective: We aim to compare the performance of various LLMs for structured data extraction from ...
Abstract: The analysis of large datasets poses significant challenges for users unfamiliar with structured query languages such as SQL or Cypher. These users, often from fields like social sciences or ...
Search engines transformed health information access, and LLMs offer a new avenue for answering laypeople’s questions. Objective: We aimed to compare the frequency of use and attitudes toward LLMs and ...
Abstract: Text-to-SQL conversion, the process of generating SQL queries from natural language input, has gained significant attention due to its potential to simplify database interaction. Although ...