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E28: Keeping the AI Revolution on the Rails with Shreya Rajpal of Guardrails AI

"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis

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Enhancing AI Output Validation

This chapter explores the validation of machine learning outputs, focusing on user-defined controls for handling problematic results like profanity and errors. It discusses tools such as OpenAI's evals library and the Guardrails framework, which streamline responses and maintain performance consistency. Additionally, the chapter emphasizes the balance between responsiveness and correctness in AI interactions, highlighting structured prompting strategies to improve user experience.

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