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 ...

The rapid evolution of large language model (LLM) deployment has surfaced a critical infrastructure gap: AI agents cap ...

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 ...

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 ...

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 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

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.

Chances are, you’ve seen clicks to your website from organic search results decline since about May 2024—when AI Overviews launched. Large language model optimization (LLMO), a set of tactics for ...