evaluationto
Evaluationto is a hypothetical framework for evaluating the outputs of artificial intelligence systems. It aims to provide a structured, multi-criteria approach to assess quality rather than relying on a single metric. The framework specifies a defined rubric, scoring scales, and procedures for aggregating results across tasks and domains.
The concept originated in theoretical discussions around 2023, proposed by researchers exploring standardized comparisons of model
Methodology centers on four core criteria: fidelity (accuracy and truthfulness of content), usefulness (relevance and practicality
Applications of evaluationto include benchmarking language models, dialogue systems, and content-filtering tools. It is used to