Some believe that AI firms of generic AI ought to be forced into leaning into customized LLMs that do mental health support. Good idea or bad? An AI Insider analysis.

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I address how you can discover hidden best ...

From managing meetings to maintaining your car, Google's Gemini-powered research tool can provide all sorts of eye-opening ...

Despite the hype around AI-assisted coding, research shows LLMs only choose secure code 55% of the time, proving there are fundamental limitations to their use.

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 ...

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

Tao: Today there are a lot of very tedious types of mathematics that we don’t like doing, so we look for clever ways to get ...

What Aristotle and Socrates can teach us about using generative AI ...

Colleges and universities have sought to equip students with the skills to use generative artificial intelligence tools thoughtfully and ethically, but a recent study finds students often outsource ...

The rising use of generative AI tools like Large Language Models (LLMs) in the workplace is increasing the risk of cyber-security violations as organizations struggle to keep tabs on how employees are ...

A national survey found 13.1% of US youths use generative AI for mental health advice, with higher usage among those aged 18 to 21. Most users found AI advice helpful, but Black respondents were less ...

Anni Chen says vibe coding is hard to resist. It speeds up her productivity, but she doesn't trust it blindly.