VentureBeat

Table-augmented generation shows promise for complex dataset querying, outperforms text-to-SQL

AI has transformed the way companies work and interact with data. A few years ago, teams had to write SQL queries and code to extract useful information from large swathes of data. Today, all they ...
Nature

A case study using sewage metagenomic data for assessment of text-to-SQL capabilities in large language models

Relational databases offer an efficient solution for storing and retrieving complex data sets, yet the requirement for SQL programming expertise presents a significant challenge for many life science ...
Nature

Scalable watermarking for identifying large language model outputs

Large language models (LLMs) are widely adopted tools for synthetic text generation, finding applications in language-based assistants, code generation, writing support and various other domains. As ...
dbta

Kinetica Integrates with Native LLM for Accessible, Secure, and Optimized SQL Queries

This extends even further outside of SQL, where the LLM is equipped to handle tasks for decision-making relating to time-series, graph, and spatial expertise. “Kinetica has led the market with ...