Kumo has unveiled KumoRFM-2, a next-generation foundation model designed specifically for structured enterprise data—marking ...

Faculty members at Northeast Community College are beginning to integrate artificial intelligence tools into their classrooms ...

Build your first fully functional, Java-based AI agent using familiar Spring conventions and built-in tools from Spring AI.

The way patients find healthcare providers has changed dramatically. Today, most people turn to search engines before choosing a doctor, making online visibility just as important as clinical ...

The project premise is to fine tune an open source LLM like Llama 2 with a specific dataset. The goal is to train the model with natural language prompts in order to generate sql queries to our ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Agent workflows make transport a first-order ...

Prompt engineering is the process of crafting inputs, or prompts, to a generative AI system that lead to the system producing better outputs. That sounds simple on the surface, but because LLMs and ...

What if you could dramatically improve your productivity and decision-making with just a few simple tweaks? In this breakdown, Paul Lipsky walks through how mastering Perplexity AI’s hidden features ...

Blockchain analytics company Chainalysis has rolled out a new automation feature aimed at broadening access to onchain investigative and compliance tools beyond technical users. The feature, called ...

Abstract: EVOLVE provides a thorough exploration of the methodology and strategic approach employed in appraising text-to-sql for enterprise-scale applications. It delves into our unique tactics, ...

Google is now routing complex queries in AI Overviews to its most capable model, Gemini 3 Pro, while faster models continue handling simpler searches. The intelligent routing system, which Google ...

Abstract: Recent progress in Large Language Models has pushed Text-to-SQL systems closer to enabling natural language queries over complex relational databases. Unfortunately, the models sometimes ...