The emphasis on the inference pipeline as “the real battle zone” stood out. It's easy to focus on model training and ignore all the complexity around schema validation, fallbacks, and business rules at inference time. The canary checks and resilience focus feel especially important for real-world systems where even a “good” model can cause issues if that layer is fragile.
Absolutely agree — the inference layer is where real-world failures surface. Schema validation, fallbacks, business logic, and canary checks matter even more than model accuracy. Really appreciate your thoughtful insight!
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The emphasis on the inference pipeline as “the real battle zone” stood out. It's easy to focus on model training and ignore all the complexity around schema validation, fallbacks, and business rules at inference time. The canary checks and resilience focus feel especially important for real-world systems where even a “good” model can cause issues if that layer is fragile.
Absolutely agree — the inference layer is where real-world failures surface. Schema validation, fallbacks, business logic, and canary checks matter even more than model accuracy. Really appreciate your thoughtful insight!