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 ...

In a remote, within-participant simulation, 26 oncologists from the United Kingdom, United States, Spain, and Singapore reviewed synthetic breast cancer cases and created comprehensive summaries for ...

Scoping review finds large language models can support glaucoma education and decision support, but accuracy and multimodal ...

Artificial intelligence has traditionally advanced through automatic accuracy tests in tasks meant to approximate human knowledge. Carefully crafted benchmark tests such as The General Language ...

David Shan is the Co-Founder and CTO of Clado, who trains in-house small language models to build the best people search algorithm. We celebrate RL breakthroughs, but behind the hype lies a brittle ...

A new systematic review reveals that only 5% of health care evaluations for large language models use real patient data, with significant gaps in assessing bias, fairness, and a wide range of tasks, ...

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 examine an existing formalized evaluation ...

The rapid emergence of Large Language Models (LLMs) and generative AI is reshaping how people and organizations access, synthesize, and apply knowledge.

New translation models, open speech datasets, and automatic speech recognition benchmarks aim to expand AI support for African languages.

The Education and Youth Board (Harno) is discussing the possibility of using artificial intelligence to grade mother tongue ...