AWS Certified AI Practitioner AIF-C01 Practice Question
A startup is building a real-time voice assistant and is evaluating several pre-trained text foundation models in Amazon Bedrock. The assistant must return answers in under 100 ms so users do not notice any delay. Which model-selection criterion should the team focus on first when comparing the available models?
Because the application must respond almost instantly, the most important consideration is each model's expected inference latency. Latency directly influences how quickly the model can generate a response; if latency is too high, the assistant will feel sluggish to users. While model size, multi-lingual support, and maximum input/output length are relevant in other situations, they do not address the startup's primary need for sub-second responsiveness.
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AWS Certified AI Practitioner AIF-C01
Applications of Foundation Models
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