Hands-on tutorial trains a decision model on Qwen3-0.6B from scratch
dl_weekly · x · 2026-11-01
- Decision models took off after TypeSafe AI's September Jev launch, with six open-source alternatives appearing within two days (per Latent.Space).
- Comet published a hands-on tutorial explaining why they differ from LLM structured output: LLMs generate token by token (cost scales with answer length, probabilities only describe the next token), while decision models return probabilities for every allowed answer in a single forward pass, trained to match actual answer frequencies.
- The tutorial builds a small decision model on a Qwen3-0.6B transformer backbone, tracks training in Comet, and validates calibration and other promised properties in Opik — showing calibration comes from training, not architecture.
- GitHub, Comet and Opik project links included for full reproduction.
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