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The document discusses the integration of Large Language Models (LLMs) and Small Language Models (SLMs) in multi-agent systems, highlighting three main architectural patterns: hierarchical, modular, and decentralized. Various orchestration strategies, including uncertainty-based, complexity-based, and confidence-based methods, lead to significant cost reductions and performance improvements across multiple benchmarks. Evaluation of these systems reveals that while efficiency gains depend on task complexity,

Author

diego.saqui

Language

EN