Silent Failures: No Crash, Wrong Answers
Why a model can degrade without ever throwing an error.
The Scariest Bug
A silent failure is the worst kind: your service returns a perfectly valid response, but the prediction inside it is simply wrong. 😬
No Exception Thrown
Normal software shouts when it breaks. ML models almost never crash, they just output a number. A wrong number looks exactly like a right one.
All lessons in this course
- The Training-Serving Skew Trap
- Silent Failures: No Crash, Wrong Answers
- When the World Changes Under Your Model
- The Reproducibility Problem