7 Engineering Challenges in Building AI Systems That Learn Continuously
goyalshaliniuk · x · 2026-11-13
Most AI models are trained, evaluated, and deployed once. But recommendation engines adapting to user behavior, fraud detection responding to new threats, and agents improving through ongoing feedback all require continual learning after deployment. The author outlines 7 key engineering challenges developers must solve when building such systems.
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