20.5 Protect the result by checks

Content and key concepts

On the previous page, where each story came from.
One successful example does not replace the verification of boundaries and intentional errors.
The compatibility of the dictionary, parameters and runtime shall be checked prior to launch. The origin of the response and the prohibitions of action shall be included in the project on an equal basis with the direct calculation. The final shall connect the familiar.
Для изменения рисунка включитеJavaScript; расчёт и теория доступны далее.
Medium is not allowed to hide critical failure.
==Career==Evalution candidate is performed on fixed datasets and workloads. Quality, springing, p95 latincy and unsafe rate have different units and areas of improvement, so they are asked to do separate things. Hard gate only goes when all conditions are met. The weighted amount is useful for ranking already eligible candidates, but high qualifierity should not compensate for the violation of safety or Lateny SLO.
Each metric is published with sample size, evaluator version, confidence interval, or rave observations where possible. Regression comparison uses the same prompts and service conditions. Errors are analysed by slices because a common account can hide the failure of a language, a domain or a rare risk category.
Continuation.
The final status is calculated as conjunction and remains red with only one file. Baseline and candidate are launched through one evaluator contract; manual override requires the author, cause, time and audit report, rather than changes in the number in the rear.
Scope of applicability.
Passing known testes does not guarantee behavior in the open world, and an evaluator model can share errors with an estimated model. Small samples give unstable tail and safety rates. Thresholds are an engineering solution for a particular risk, not a universal proof of quality, nor a substitute for red-team, post-release observations, and Rollback plan.
thresholds_20e = {'quality': 0.80, 'grounding': 0.85, 'p95': 0.80, 'unsafe': 0.01}
metrics_20e = {'quality': 0.82, 'grounding': 0.90, 'p95': 0.70, 'unsafe': 0.00}
checks_20e = {
'quality': metrics_20e['quality'] >= thresholds_20e['quality'],
'grounding': metrics_20e['grounding'] >= thresholds_20e['grounding'],
'p95': metrics_20e['p95'] <= thresholds_20e['p95'],
'unsafe': metrics_20e['unsafe'] <= thresholds_20e['unsafe'],
}
# Полный исполняемый пример — по ссылке ниже.
The code repeats the operations just taken care of.
Completely checked Python-example Chapter
Available with a separate file; the short piece shown does not replace its implementation.
Held-out fixtures must remain independent, and the pass rat is published with the denominator.
The system stops at unknown action. How does this question continue?
Python examples of chapter 20
Academic base