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7min chapter
Productionizing GenAI at Scale with Robert Nishihara
AI Explained
Navigating AI Performance Metrics
This chapter explores the complexities of evaluating performance and accuracy in generative AI applications, focusing on key metrics like quality, latency, and cost. It highlights the evolution of model evaluation and the shift from static datasets to dynamic outputs, emphasizing new strategies for enhancing AI performance.
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