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In the evolving world of chatbot technology, we've shifted from simplistic State Machines to advanced Large Language Models (LLMs) that use AI agents for more dynamic interactions. Alex Varga introduces the concept of AI routing to further enhance LLM efficiency by intelligently selecting the most suitable AI agent for a given task. This method, inspired by the human brain's processing system, promises not only improved performance but also cost-effectiveness. The transition from deterministic to probabilistic automation and the introduction of Chain-of-Thought (CoT) prompting and debates among AI agents mark significant milestones. These advancements in AI routing and model selection are pivotal for developers and businesses aiming to leverage AI for better outcomes

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