AWS Certification Exam AI Practitioner (Practice Questions) set6
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When adapting a model for a specific task, what are the main differences between fine-tuning and prompt design?
①Fine-tuning is always less costly than prompting.
②Prompt engineering permanently changes the model's weights.
③Fine-tuning updates a model's weights with training data, whereas prompt engineering only changes behavior by crafting the input and does not modify the model itself.
④Prompt design requires a large amount of training data.
⑤The two are essentially the same process.