AppliedAIPrep logoAppliedAI/Prep
← MLOps & ML Engineering / 54
mediumOpenAIMetaNetflix

How do you build a data flywheel from production feedback, and what makes feedback loops go wrong?

Production usage can become your best source of training data, or a self-reinforcing trap. The signal is knowing how to capture clean feedback and how to break the loops that quietly corrupt the model.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.

Production usage can become your best source of training data, or a self-reinforcing trap. The signal is knowing how to capture clean feedback and how to break the loops that quietly corrupt the model.

Unlock the other 754 answers · ₹2,000 / $25includes both full courses · progress stays saved · 6 months · one payment · no auto-renew
LEARN THE BACKGROUND

No lesson covers this question directly yet. These teach the surrounding topic from the beginning.

Applied AI Engineering·The interviewPremium12mTurning this course into a study planA concrete four-week plan mapping the seven modules onto the question bank, plus what to do differently if your interview is next week rather than next month.
UP NEXT ON YOUR JOURNEY
Next in this trackWalk me through deploying and scaling model inference on Kubernetes.Popular right nowWhy do transformers scale attention scores by 1/√d_k, and what breaks if you skip it?Popular right nowWhen do you choose prompting vs RAG vs fine-tuning for a customer problem?
DISCUSSION · 0

No comments yet — be the first to share your approach.