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 ...

Showcasing personal projects on his résumé helped engineer Georgian Tutuianu find an AI-specific role.

Ten AI concepts to know in 2026, including LLM tokens, context windows, agents, RAG, and MCP, for building reliable AI apps.

AI has reshaped the work of junior engineers — something that could have pros and cons. Here's how they can still get ahead.

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 ...

Tools designed to verify and monitor physical AI systems offer value, but human oversight is needed to prevent accidents and unexpected behavior.

Sebastian Raschka, a researcher in large language models (LLMs), says OpenClaw, the autonomous assistant, is a milestone, but ...

As Chief Information Security Officers (CISOs) and security leaders, you are tasked with safeguarding your organization in an ...

LLMs can supercharge your SOC, but if you don’t fence them in, they’ll open a brand-new attack surface while attackers scale faster.

LLMs can compose poetry or write essays. You can specify that these compositions are “in the style of” a noted poet or author ...

EDA produces a lot of data, but how useful is that for AI to consume? The industry looks at new ways to help AI do a better job.

Enter large language model (LLM) evaluation. The purpose of LLM evaluation is to analyze and refine GenAI outputs to improve their accuracy and reliability while avoiding bias. The evaluation process ...