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Towards stability and robustness

Practical AI

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Navigating AI Stability and Specificity

This chapter delves into the critical concepts of specificity and stability in AI deployment, emphasizing the tailored solutions required for unique challenges in software engineering. Using a humorous analogy, it explores the intricacies of ensuring robust performance of AI models in dynamic real-world environments, highlighting the importance of representative data and strategic training approaches.

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