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Table Of Contents
Building Agentic AI Systems
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While we’ve explored how the CWD model maps to LLM-based agents and discussed role adaptations for our travel planning system, implementing this approach in generative AI systems requires careful attention to several technical considerations. The transition from traditional multi-agent systems to LLM-based implementations brings unique challenges and opportunities. LLMs, with their natural language understanding and generation capabilities, offer new ways to implement agent behaviors and interactions but also require specific architectural considerations to maintain the structured approach of the CWD model.
In traditional multi-agent systems, behaviors and interactions are typically programmed explicitly through code. However, in LLM-based implementations, these aspects are primarily controlled through carefully crafted prompts and interaction patterns. This fundamental difference requires us to adapt the CWD model’...