AWS Certified AI Practitioner AIF-C01 Practice Question
An online retailer plans to deploy a website chat assistant that will respond to customers' typed questions in natural language. When comparing Amazon Bedrock foundation models, which modality should they prioritize to satisfy this requirement?
The assistant must read user text and produce coherent text replies, so a foundation model specialized for text generation is required. Image-generation models focus on creating visuals, audio-to-text models convert speech, and tabular data models analyze structured datasets; none of these directly generate conversational text.
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Why is text generation the best modality for this requirement?
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What is Amazon Bedrock, and how does it relate to foundation models?
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How do foundation models handle natural language processing tasks?
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AWS Certified AI Practitioner AIF-C01
Applications of Foundation Models
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