4 articles tagged with "Large Language Models"
The rise of autonomous AI systems powered by Large Language Models presents significant governance challenges. Effective policies are crucial for ensuring security and compliance.
A recent study emphasizes the need for improved evaluation techniques for large language models in clinical settings, as traditional benchmarks may not capture their real-world effectiveness.
A new method called Lean4Agent aims to improve the reliability of multi-step workflows in AI, focusing on formal modeling and verification techniques.
A recent study introduces a novel method aimed at assessing the Theory of Mind capabilities in large language models, focusing on explicit belief modeling.