This week covered inference deployment—bringing trained models into production. One core message: inference mode choice is driven by request pattern, not algorithm. Is traffic steady or sporadic? Immediate response needed? Payload/runtime size? Where to cut cost? Today we weave Days 1–4 into single decision flow—ready to unpack in exam.
Re-etch Day 1's core table: