Recommender Systems Complete Course Beginner to Advanced - Project Amazon Product Recommendation System: Compute Loss

The video tutorial covers the use of TensorFlow Recommenders (TFRS) for building recommendation systems. It explains the use of retrieval tasks, which bundle loss functions and metric computations. The tutorial guides through defining a compute_loss function, creating user and beer embeddings, and concludes with a preview of the next steps involving cross tensor flow callbacks.

Explain the significance of the built-in wrapper in recommended systems.

What is the final step mentioned before defining the cross tensor flow callback?