AI performance reliability 3

https://aged-wiki.win/index.php/How_Practical_Engineering_Keeps_Edge_AI_Deployment_Real

AI performance reliability means consistently getting accurate and expected results over time, even as conditions change. It’s about trust—knowing the system won’t fail unexpectedly, handles edge cases well, and maintains quality under real-world pressure. This reliability depends on robust training data, thorough testing, and ongoing monitoring to catch drift or degradation in accuracy.