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An evaluation set is a collection of questions with standard answers or expected hit document annotations, recall measures the proportion the system actually returns out of all relevant documents that should be retrieved, and a baseline is the score of the simplest solution on the same evaluation set.
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10/15/2026
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UnverifiedAn evaluation set (eval set) is a carefully constructed collection of input samples and their corresponding expected outputs or evaluation criteria, used to systematically measure a model's performance on specific tasks.73% similarUnverifiedThe evaluation program feeds the question, reference answer, and actual response together into the judge model, along with scoring instructions (e.g., relevance, accuracy, and completeness each scored 0–5), and the judge model outputs structured scores and reasoning.69% similarUnverifiedAn evaluation suite is a set of automated test sets used to quantify the performance of a prompt or model on a specific task; without an evaluation suite it is hard to objectively judge whether a change is an improvement or a regression.69% similarUnverifiedIn LLM application development, evaluation refers to the process of systematically measuring the quality of a system's output using a set of test questions with reference answers, typically requiring the preparation of 30-50 question-answer pairs covering typical scenarios and edge cases.68% similarUnverifiedAn Eval (evaluation benchmark) is a systematic test set and scoring mechanism, where scoring can be rule-based or use the LLM-as-Judge approach.67% similar
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