From Demo to Defensibility: How to Build an AI Business that Lasts | Aurimas Griciūnas
Chain of Thought
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Enhancing Observability and Evaluation in AI Systems
This chapter focuses on the significance of observability tooling in building effective agentic systems. It discusses the challenges in creating evaluation datasets and suggests clustering traces to uncover patterns, while also highlighting the role of automated tools in improving oversight and system performance.
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