Jan 27
9 min read
Model interpretability with Azure OpenAI
From code to natural language
Model interpretability refers to the ease with which a human can understand the reasoning behind the predictions made by a machine learning model. It is the ability to understand how a model is making decisions and what factors are contributing to its predictions.
