AWS Certified AI Practitioner (AIF-C01) — Question 176

Which technique involves training AI models on labeled datasets to adapt the models to specific industry terminology and requirements?

Answer options

• A. Data augmentation
• B. Fine-tuning
• C. Model quantization
• D. Continuous pre-training

Correct answer: B

Explanation

The correct answer, Fine-tuning, refers to the process of adjusting a pre-trained model on a specific dataset to improve its performance in a particular context. Data augmentation is about increasing the diversity of training data, model quantization is for reducing model size and improving speed, and continuous pre-training involves ongoing training rather than focusing on specific labels.