Answer-first summary for fast verification
Answer: Increase the size of the training dataset and retrain the model.
Option A is the correct approach as increasing the size of the training dataset can provide the model with more examples to learn from, which can improve its performance. Retraining the model with the expanded dataset can help it generalize better to new data. Option B is incorrect as using a different pre-trained model may not necessarily improve the performance for technical documents. Option C is incorrect as implementing a new feature without additional training data may not be effective. Option D is incorrect as switching to a different translation service may not guarantee better performance for technical documents.
Author: LeetQuiz Editorial Team
Ultimate access to all questions.
You are working on a project to improve the translation quality of a custom translation model using Azure AI Translator service. The model has been trained with a dataset of technical documents, but the translations are not accurate enough. What steps would you take to improve the model's performance?
A
Increase the size of the training dataset and retrain the model.
B
Use a different pre-trained model as the base for the custom model.
C
Implement a new feature in the model to handle technical terminology better.
D
Switch to a different translation service that is better suited for technical documents.
No comments yet.