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

Though large language models remain popular, IT decision-makers are increasingly trying out smaller, open models that may be a better fit for enterprise AI needs.

Opportunities for agentic AI. AI agents go beyond basic in-context learning by enabling LLMs to iteratively plan, reason, and ...

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 ...

Pro, Llama 2, and medical-domain-tuned variants like Med-PaLM 2 have demonstrated remarkable capabilities in answering ...

Ask an AI model the same political question in two different languages, and you may get two very different responses. A new ...

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.

The latest 2026 leaderboards from Klu.ai, BenchLM.ai, and PromptXL compare top large language models (LLMs) such as GPT-4 Turbo, Claude 3.5 Sonnet, and Gemini Pro 1.5 across quality, speed, cost, and ...

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 ...