What tasks does it contain?
Coverage, difficulty, language, topicality and possible contamination.
Sample
Assessment
Benchmarks explained without misleading ranking.
A metric is only useful when we know the task, the conditions, and the error that matters.
01
Five questions before comparing
The result begins with the design of the test.
What does it mean to get it right?
Accuracy, human preference, cost, time or success rate.
AimWas the same thing compared?
Prompt, tools, reasoning, samples and budget.
Equity
02
Evaluation for your project
Turn real needs into a small, repeatable set.
Collect representative tasks
Includes normal cases, edges and costly failures.
CasesDefine a rubric
Separates correctness, usefulness, security and format.
CriterionMeasure the entire system
Model, recovery, tools, latency and cost.
Production
03
From benchmark to reproducible decision
A public benchmark provides guidance, but does not replace an evaluation with your data, tools, budget, and error tolerance.
Identify the exact version
A moving alias and a snapshot may produce different results. Record the model, date, and provider.
Reconstruct the conditions
Prompt, reasoning, tools, number of attempts, and budget must be equivalent for comparison.
Look for uncertainty
A small difference may disappear between runs. Keep samples, dispersion, and failures, not just the average.
Check transferability
Validate whether the improvement holds across languages, formats, and real cases close to your product.
04
Fuentes primarias y técnicas
Referencias utilizadas para ampliar y revisar esta página.