From the course: AWS Certified AI Practitioner (AIF-C01) Cert Prep
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Question breakdown, part 1 - Amazon Web Services (AWS) Tutorial
From the course: AWS Certified AI Practitioner (AIF-C01) Cert Prep
Question breakdown, part 1
- In this question breakdown, we have a scenario that involves model inference parameters. Let's go ahead and read the question. "You are tasked with generating creative text using an AI model and need to set the inference parameters to encourage diverse outputs. If you choose a high temperature setting, what is the expected effect on the generated response?" We have four choices here, so we're going to want to look through these and see if we can, hopefully, eliminate incorrect answers so that what we have left is the correct answer. So let's go ahead and walk through these. We'll start with A. The model will produce repetitive and predictable responses. Well, a high temperature actually promotes variability rather than predictability, so this isn't right. B, The model will generate diverse and creative responses. Well, that's exactly what a high temperature is going to promote, randomness, creative responses, and really what it's doing is it's increasing the non-determinism of the…
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Module 4: Applications of foundation models introduction41s
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Learning objectives34s
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Pretrained model selection criteria5m
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Model inference parameters3m 54s
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Introduction to RAG5m 1s
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Introduction to vector databases4m 15s
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AWS vector database service3m 16s
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Foundation model customization cost tradeoffs3m 16s
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Generative AI agents5m 17s
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Question breakdown, part 12m
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Question breakdown, part 22m 50s
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