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Integrating Control Logic with Language Models in AI Systems
This chapter delves into the process of merging control logic with language models in artificial intelligence systems, enhancing their functionality and capabilities. It explains how control logic manages input activation and real-world actions based on language model output, enabling tasks like web searches, generating text, or executing complex requests. The discussion emphasizes the significance of carefully crafting control logic to ensure predictability, responsibility, and accountability in AI actions, while dispelling misconceptions around self-aware AI entities and focusing on practical AI development.