S3. Binding the Probabilistic Spark
01 / LEARNING OUTCOMES
What you’ll take away
- 01Write constrained API prompts with role, task, context, limits, and explicit uncertainty handling
- 02Convert model output into typed JSON and validate it before downstream use
- 03Evaluate model behavior with labeled cases, confidence-independent checks, and operational limits
02 / SESSION PLAN
180 minutes of practical learning
01
Separate probabilistic interpretation from deterministic decisions
Connect the topic to your day-to-day work.
02
Engineer a production prompt and output contract
Follow a worked example and inspect its limitations.
03
Validate parseability, types, limits, and authorization
Try the method with approved sample data.
04
Connect the model to deterministic workflow tollgates
Apply the method to a realistic team challenge.
05
Build an evaluation heatmap and failure plan
Capture what you learned and choose your next action.
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