The 'last-mile' data problem is stalling enterprise agentic AI — 'golden pipelines' aim to fix it

Empromptu's "golden pipeline" approach tackles the last-mile data problem in agentic AI by integrating normalization directly into the application workflow — replacing weeks of manual data prep with ...

How to vibe-code an SEO tool without losing control of your LLM

Vibe coding isn’t just prompting. Learn how to manage context windows, troubleshoot smarter, and build an AI Overview ...

Rapidata emerges to shorten AI model development cycles from months to days with near real-time RLHF

Rapidata treats RLHF as high-speed infrastructure rather than a manual labor problem. Today, the company exclusively announced to us at VentureBeat its emergence with an $8.5 million seed ...

Is AI really ‘intelligent’? This philosopher says yes

Anyone who engages in serious dialogue with a Large Language Model (LLM) may get the impression they are interacting with an ...
UC San Diego Today

A New Method to Steer AI Output Uncovers Vulnerabilities and Potential Improvements

A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new method could lead to more reliable, more efficient, ...