Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems
By: Costin Bădică , Amelia Bădică , Maria Ganzha and more
Potential Business Impact:
AI helpers learn from each other to solve problems.
This contribution provides our comprehensive reflection on the contemporary agent technology, with a particular focus on the advancements driven by Large Language Models (LLM) vs classic Multi-Agent Systems (MAS). It delves into the models, approaches, and characteristics that define these new systems. The paper emphasizes the critical analysis of how the recent developments relate to the foundational MAS, as articulated in the core academic literature. Finally, it identifies key challenges and promising future directions in this rapidly evolving domain.
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