How can you customize FastAI s callback system for generative AI model monitoring

Question

With the help of code, can you explain how you can customize FastAI’s callback system for generative AI model monitoring?

Answer 1

FastAI's callback system can be customized for generative AI model monitoring by creating a custom callback class that hooks into the training process. This allows you to log metrics, save outputs, or handle specific events during training, such as monitoring generated samples or logging loss.

Here is the code snippet you can refer to:

In the above code, we are using the following:

• before_batch: Access input/output data for inspection before processing.
• after_epoch: Log or visualize generated outputs periodically.
• after_loss: Monitor loss during training.

Hence, this approach integrates seamlessly with FastAI’s callback system while enabling real-time monitoring for generative models.