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You are working on a project to develop a language understanding model for a virtual personal shopping assistant. The model should be able to handle intents such as 'search_product', 'compare_products', and 'read_reviews'. You want to optimize the model to improve its performance. Which of the following techniques should you consider?_
A
Increase the number of training samples for each intent by adding more random utterances.
B
Use data augmentation techniques to generate additional training samples with variations in wording and phrasing.
C
Remove some of the intents and merge them into a single intent to simplify the model.
D
Fine-tune the model's parameters to improve its ability to generalize from the training data.