Free Lesson
Train your Own Decision Model
60 min
Nov 9, 2026 11:00 AM
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What you'll learn
Turn an LLM into a fast typed decision model
Constrain outputs to fixed choices and make a decision from a single forward pass.
Evaluate whether your decisions are actually good
Test a small model on labeled data and measure accuracy, precision, recall, and F1.
Fine-tune a model for better decision quality
See how lightweight training can improve a small model on a targeted decision task.
Calibrate confidence scores you can trust
Learn why token probabilities are often overconfident and how temperature scaling can fix them.
Why this topic matters
Instead of training ranking models, should search teams train decision models?
Agentic systems increasingly need to make fast, reliable choices—not generate long-form text. Decision models offer a way to turn small language models into typed classifiers with confidence scores, giving agents a cheaper and more controllable path for routing, policy decisions, tool selection, and other high-frequency judgments.
