Amazon Web Services AWS Certified AI Practitioner AIF-C01 Question # 10 Topic 2 Discussion
AIF-C01 Exam Topic 2 Question 10 Discussion:
Question #: 10
Topic #: 2
A company is using domain-specific models. The company wants to avoid creating new models from the beginning. The company instead wants to adapt pre-trained models to create models for new, related tasks.
Transfer learning is the correct strategy for adapting pre-trained models for new, related tasks without creating models from scratch.
Transfer Learning:
Involves taking a pre-trained model and fine-tuning it on a new dataset for a related task.
This approach is efficient because it leverages existing knowledge from a model trained on a large dataset, requiring less data and computational resources than training a new model from scratch.
Why Option B is Correct:
Adaptation of Pre-trained Models: Allows for adapting existing models to new tasks, which aligns with the company's goal of not starting from scratch.
Efficiency and Speed: Speeds up the model development process by building on the knowledge of pre-trained models.
Why Other Options are Incorrect:
A. Increase the number of epochs: Does not address the strategy of reusing pre-trained models.
C. Decrease the number of epochs: Similarly, does not apply to adapting pre-trained models.
D. Use unsupervised learning: Does not involve using pre-trained models for new tasks.
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