Crucial Exams

AWS Certified AI Practitioner AIF-C01 Practice Question

When selecting a pre-trained text foundation model, a company wants to add domain-specific terminology by running a small, low-cost fine-tuning job instead of training the model from scratch. Which selection criterion best meets this need?

  • Support for parameter-efficient fine-tuning or other built-in customization methods

  • A default inference temperature preset to 0.7

  • Built-in multi-lingual embeddings for over 200 languages

  • An input token limit of 32,000 tokens per request

AWS Certified AI Practitioner AIF-C01
Applications of Foundation Models
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