AWS Certified AI Practitioner AIF-C01 Practice Question
A developer using Amazon Bedrock wants a text generation model to immediately stop producing further tokens when the string "###END###" appears in the output. Which inference parameter should the developer configure to achieve this?
Stop sequences let you specify one or more character strings that signal the model to halt generation as soon as any of them is produced. Setting a stop sequence of "###END###" causes the model to terminate output when that exact string is emitted. Temperature adjusts randomness, Top-K limits the number of candidate tokens considered during sampling, and a maximum output token limit cuts off output only when the length threshold is reached-all of which do not stop generation based on a specific string.
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What is a stop sequence in Amazon Bedrock?
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How does Temperature affect text generation in Amazon Bedrock?
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What is the role of maximum output tokens in text generation?
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What is a stop sequence in Amazon Bedrock?
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How does temperature affect text generation models?
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What is Top-K sampling and how does it differ from stop sequences?
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AWS Certified AI Practitioner AIF-C01
Applications of Foundation Models
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