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Integrating LLMs and Code in Multi-Agent Systems
This chapter explores the integration of large language models (LLMs) and traditional coding in defining agent capabilities in multi-agent systems. It emphasizes the balance between these approaches and highlights the potential of combining heuristic methods with LLM-driven processes for improved adaptability and performance.