A software development company is building generative AI solutions for its clients, including applications for content creation and automated responses. As part of the development process, the team needs to clearly understand the distinctions between model inference and model evaluation to ensure accurate performance tracking and deployment. Model inference is required for generating outputs from the model, while model evaluation is necessary for assessing how well the model performs based on specific metrics. Which of the following options best summarizes the differences between model inference and model evaluation in the context of generative AI?