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 ...

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

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 ...

Understanding complex biological pathways, such as gene-gene interactions and gene regulatory networks, is crucial for exploring disease mechanisms and advancing drug development. However, manual ...

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 ...

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, ...

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 ...