<ul><li>A new formal model called the L Function has been introduced to optimize how Large Language Models (LLMs) operate within Multi-Agent Systems (MAS).</li><li>The L Function aims to minimize inefficiencies in LLM outputs by balancing brevity, contextual alignment, and task relevance through a mathematical framework.</li><li>It decomposes contextual deviation considering task alignment, historical alignment, and system dynamics using adjustable parameters for weighting task importance, historical coherence, and robustness.</li><li>The benefits of adopting the L Function include contextual precision, response efficiency, adaptive prioritization, and a domain-agnostic design applicable across various sectors like healthcare, finance, and robotics.</li></ul>

New Formula Could Make AI Agents Actually Useful in the Real World

Discover more