Your data science team is working on optimizing a PyTorch model for image classification, leveraging a pre-trained ResNet model. The team aims to achieve the best performance through hyperparameter tuning. The project has constraints including the need for scalability, cost-effectiveness, and minimal changes to the existing PyTorch framework. Which of the following approaches should you take to meet these requirements? (Choose two options if E is available)