Shrink a high-volume agent step after the strong model
Narrow steps that run on every request, on a model stronger than that step needs, are candidates for a cheaper model. Measured spend then shows where the savings lie. Prove the step on the strongest model, move that one job to a smaller or fine-tuned model, and keep the product metric where it was.…
Read the full story at DEV Community — Machine Learning ↗
Timeline · 1 report
- 2026-10-03 21:06 · DEV Community — Machine Learning
Shrink a high-volume agent step after the strong model