From Demo to Defensibility: How to Build an AI Business that Lasts | Aurimas Griciūnas
Chain of Thought
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Advancements in Tool Error Optimization and Automated Feedback Loops
This chapter explores the development of an insights engine within an AI platform aimed at optimizing tool errors by analyzing trace data. Through a trip-booking application example, it highlights the importance of performance-based options adjustment and the ongoing creation of an automated feedback loop for error analysis.
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