Evaluating your model’s performance at different phases is crucial to ensure its effectiveness and reliability. Before exploring the various options you have to evaluate your model, let’s explore the aspects of your application you can evaluate.
When you develop a generative AI app, you use a language model in your chat application to generate a response. To help you decide which model you want to integrate into your application, you can evaluate the performance of an individual language model:
An input (1) is provided to a language model (2), and a response is generated as output (3). The model is then evaluated by analyzing the input, the output, and optionally comparing it to predefined expected output.
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