Baselining

Baselining, in the context of GenAI, refers to the process of defining a standard or a reference output for the AI model to compare future outputs. This standard serves as a crucial benchmark for evaluating the model’s performance, consistency, and improvements over time. By establishing a baseline, developers and stakeholders can objectively measure how the AI performs relative to a predefined set of expectations, ensuring that the model meets and maintains desired standards.

In GenAI, baselining is essential for several reasons. Firstly, it provides a clear metric for assessing the quality and performance of the AI model. Secondly, it helps in tracking the model’s progress and improvements over time. Finally, baselining is a tool to help ensure consistency in the model’s outputs, via detection of output variability. All of these are vital for maintaining reliability and trust in the AI system.

The aspects of the AI model that can be baselined...