AWS Certification Exam AI Practitioner (Practice Questions) set20
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What is the main reason in-context learning contributes to cost reduction when customizing machine translation?
①Because you can simply show examples in the prompt without updating the model's weights, retraining costs are unnecessary.
②In-context learning always runs with minimal inference time, so cloud costs are low.
③In-context learning requires large amounts of additional data, but that data can be collected cheaply.
④In-context learning requires continuous training using GPUs.
⑤Because in-context learning always yields higher output quality than fine-tuning, no post-processing costs are necessary.