These new models are specially trained to recognize when an LLM is potentially going off the rails. If they don’t like how an interaction is going, they have the power to stop it. Of course, every ...

Powered by Gensonix AI DB, Scientel ‘s LLM solution supports multiple DB nodes in a single LLM application Our ...

Trillion Parameter run achieved with DeepSeek R1 671B model on 36 Nvidia H100 GPUs We are pleased to offer a Trillion ...

Gensonix AI DB efficiency combined with the power of Meta's Llama 3B model and AMD's Radeon GPU architecture makes LLMs ...

Mercury 2 introduces diffusion LLMs to text, delivering 10x faster speeds for AI agents and production workflows without sacrificing reasoning power.

SQL will continue to serve as the lingua franca but the world of data will speak in graphs, vectors, LLMs too– and relational databases will stay but not in the same chair. Here’s why?

Announcing the Fabricate Data Agent, synthetic data generation via agentic AI. Plus, Structural's Custom Categorical is now AI-assisted, and Model-based Custom Entities are coming to Textual!

AI’s next leap won’t come from bigger models or longer context windows, but from better-organized knowledge.

Enterprises seeking to make good on the promise of agentic AI will need a platform for building, wrangling, and monitoring AI agents in purposeful workflows. In this quickly evolving space, myriad ...

First of four parts Before we can understand how attackers exploit large language models, we need to understand how these models work. This first article in our four-part series on prompt injections ...