Objectives To evaluate the performance of large language models (LLMs) in risk of bias assessment and to examine whether ...

Screening for lung cancer is critical, and using low-dose computed tomography (CT) allows the early detection of lung cancer. Lung-RADS v2022 is a quality assurance tool that was published in November ...

Impact of early phase study enrollment for pediatric oncology patients on symptom burden and quality of life (QOL): Early report of trial-in-progress results. EROS: Engendering reproductive health ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

MIT's MeMo framework trains a compact memory model that boosts LLM performance by up to 26.73% without retraining, with major implications for crypto AI agents.

Gary Marcus, professor emeritus at NYU, explains the differences between large language models and "world models" — and why he thinks the latter are key to achieving artificial general intelligence.

As recently as 2022, just building a large language model (LLM) was a feat at the cutting edge of artificial-intelligence (AI) engineering. Three years on, experts are harder to impress. To really ...

Seeing as how it takes hours of interactions to really get a feel for what an ai can do, how do they compare? I’ve spent some time on ChatGPT mainly. Claude is supposedly a more sensitive llm? I haven ...

Compare AI Models is a web-based tool designed to help you evaluate and compare different AI models based on key performance ...