01 / INFERENCE
Make prediction a contract.
FastAPI gives a model a clear boundary: validated input in, predictable output out.
POST /predict
{ "features": [0.42, 0.18, 0.91] }
200 OK
{ "label": "approved", "score": 0.87 }Ship models with intent.
FROM THE SUPPLIED BRIEF
Tools are only the surface. The craft is the layer between a trained model and a dependable product.
Three foundations
Use these as a compact map for completing the work.
02 / SERVING
Choose the right tempo.
Online predictions answer now. Batch predictions process a known set later. Latency, cost, and freshness make the decision.
03 / LIFECYCLE
Give every model a memory.
Version datasets, code, weights, and evaluation results so a good decision can be reproduced.
DECISION TOOL
What is your prediction tempo?
Select the requirement that matters most.
Choose a constraint to get a serving recommendation.
VERSION LEDGER
Record a model identity you can reproduce. It persists after refresh.