Google has developed a new evaluation framework to help health systems assess large language models more efficiently and reliably. The framework, called Adaptive Precise Boolean rubrics, converts ...

System prompt engineering turns benign AI assistants into 'investigator' and 'detective' roles that bypass privacy guardrails A team of boffins is warning that AI chatbots built on large language ...

Health-care systems are being optimized for staff and patients by basing LLMs in facts and logic through neuro-symbolic AI.

Search plays a crucial role in our digital lives, helping us with everything from quick answers to in-depth research. By 2025 ...

A systematic review reveals only 5% of healthcare evaluations for large language models use real patient data, highlighting gaps in bias and task assessment.

Researchers from the University of Maryland School of Medicine developed a new and highly effective application of an ...

Linguistic flexibility. The large number of ways to phrase a statement in natural language, combined with the core trained imperative to continue text the way a human would, means that nuances of ...

Healthcare is in the midst of a data-driven revolution. With the convergence of big data, machine learning and AI, the sector is becoming smarter, faster and more predictive.

DeepSeek and narrower models Countering expansion of the LLM approach as a wise course of action, the Chinese firm DeepSeek claimed it's been able to train a comparable AI model at an 11 times ...