Generative AI (gen AI) and large language models (LLMs) are revolutionizing personal and professional lives. From supercharged digital assistants that manage email to seemingly omniscient chatbots ...

Generative AI is one of the most in-demand skill sets in 2026, and a structured roadmap can help you go from zero to job-ready. The journey begins with Python and core AI concepts, progresses through ...

Adam Stone writes on technology trends from Annapolis, Md., with a focus on government IT, military and first-responder technologies. Large language models, or LLMs, underpin that state and local ...

Purpose-built AI for mental health has a great future, but only if well-managed and smartly devised. Diffusion of innovation ...

Understand how AI Overviews, ChatGPT, Perplexity and more select their sources and ways to position your brand as a trusted reference. A new buzzword is making waves in the tech world, and it goes by ...

Predicting the outcome of mental health therapy is a vital goal. Statistical models have been used. Now, we turn to using AI ...

Liquid AI has introduced new liquid foundation models that promise more energy-efficient, transparent, tuneable, and performant alternatives to Large Language Models for generative AI. Liquid AI, an ...

Getting started with a generative AI red team or adapting an existing one to the new technology is a complex process that OWASP helps unpack with its latest guide. Red teaming is a time-proven ...

The magic was real. The conclusion was wrong. When ChatGPT launched in November 2022, the reaction was immediate and visceral ...

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...

Large language models and generative AIs have deep algorithmic malfunctions. They don’t know truth from falsehood, logic from fallacy or context from noise. Modern software engineering is built on ...