baseline
A baseline is a credible comparison under the same evaluation conditions.
Use this when A new model or optimization reports a result with no useful comparator.
without the term
“The new AI ranking scores 85%, which sounds good, but compared to what? How do I tell if it's actually better than what we had, or than a simple rule?”
with the term · How do you ask a model for baseline?
Establish a realistic baseline before this change. Compare quality, latency, and cost on the same evaluation cases and report the tradeoff.
What is baseline?
Run the current or simplest alternative on the same cases with the same metrics, cost, and latency accounting, so you can tell whether the new approach is worth it.
Why does baseline matter when vibe coding?
A high score can be less useful than a simple existing rule.
How do you do baseline?
Run the current or simple alternative using the same cases, metrics, and resource accounting.
What goes wrong with baseline?
Weakening the baseline so the proposed approach wins by construction.