The endeavor of taming language learning models (LLMs) to serve the purposes of your organization can be a tricky process. The unpredictability of these wonders of artificial intelligence (AI) can ...

Explore how LLM proxies secure AI models by controlling prompts, traffic, and outputs across production environments and ...

Researchers at the Tokyo-based startup Sakana AI have developed a new technique that enables language models to use memory more efficiently, helping enterprises cut the costs of building applications ...

I got my answer, just not the one I was expecting ...

Indirect prompt injection lets attackers bypass LLM supervisor agents by hiding malicious instructions in profile fields and contextual data. Learn how this attack works and how to defend against it.

Upwind, the runtime-first cloud security platform leader today unveiled the results of research from RSAC Conference demonstrating that malicious Large Language Model (LLM) prompts can be detected ...

Application security solution provider White Source Ltd., also known as Mend.io, today launched System Prompt Hardening, a dedicated capability designed to detect issues within the hidden instructions ...

I switched from a 20B model to a 9B one, and it was better ...

Given that prompts about expertise do have an effect, the researchers – Hu and colleagues Mohammad Rostami and Jesse Thomason – proposed a technique they call PRISM (Persona Routing via Intent-based ...