Study explores the impact of LLMs on human creativity

Large language models (LLMs), AI systems that can process human language and generate new texts in response to written prompts, are now widely used by people worldwide to complete various tasks. These systems can be used to quickly create various texts for specific purposes, including work emails, reports, lists, articles and essays, as well as poems, stories, scripts and even song lyrics.

AI evaluates texts without bias—until the source is revealed

techxplore.com - 10/Nov 16:20

Large language models (LLMs) are increasingly used not only to generate content but also to evaluate it. They are asked to grade essays, moderate...

Evaluating AI Vulnerability Detection: How Reliable Are LLMs for Secure Coding?

itsecuritynews.info - 14/Nov 21:36

Large language models (LLMs) can be used to generate source code, and these AI coding assistants have changed the landscape for how we produce...

Evaluating AI Vulnerability Detection: How Reliable Are LLMs for Secure Coding?

itsecuritynews.info - 14/Nov 21:36

Large language models (LLMs) can be used to generate source code, and these AI coding assistants have changed the landscape for how we produce...

Teaching creativity in the age of AI

thestar.com.my - 23:00

Educators worldwide are reexamining how creativity can be taught in an age when artificial intelligence (AI) tools are able to generate essays, images...

Google Now Expands Opal Offerings – Simplifying Mini App Development

thecekodok.com - 07/Nov 10:45

Google today announced the introduction of Opal globally, making it easier for everyone, including Malaysian users, to access and use it.Opal is a...

Google Now Expands Opal Offerings – Simplifying Mini App Development

thecekodok.com - 07/Nov 10:45

Google today announced the introduction of Opal globally, making it easier for everyone, including Malaysian users, to access and use it.Opal is a...

Human-centric photo dataset aims to help spot AI biases responsibly

techxplore.com - 05/Nov 20:47

A database of more than 10,000 human images to evaluate biases in artificial intelligence (AI) models for human-centric computer vision is presented...