Inference, Guardrails, and Observability for LLMs with Jonathan Cohen
AI Explained
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Navigating AI Security and Communication
This chapter examines the intersection of computer security and dialogue modeling in conversational AI, focusing on technologies that detect security threats through adaptive rule engines and large language models. It discusses the importance of customizable frameworks, monitoring, and ethical considerations in deploying AI, highlighting specific challenges in sectors like healthcare and finance. Additionally, the chapter explores the evolution of AI communication towards more natural language interactions, emphasizing the need for compliance and anomaly management in these systems.
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