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Creating tested, reliable AI applications (Practical AI #295)

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Methodologies for Reliable AI Testing Frameworks

This chapter explores the methodology for testing AI applications, outlining a structured framework to ensure reliability across different scenarios. It details three types of tests essential for verifying AI models, using real-world examples like fraud detection and sentiment analysis to illustrate their significance.

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