AWS Certified AI Practitioner AIF-C01 Practice Question
A team needs a foundation model that can accept about 4,000 tokens of source text and generate a 1,500-token summary in a single call. Which selection criterion is most critical for choosing an appropriate pre-trained model?
Size of the dataset used during pre-training
Maximum supported context window and generation length
The team must ensure that the model's supported input and output lengths (its maximum context window and generation limit) are large enough to handle a 4,000-token prompt plus a 1,500-token response. If the context window is smaller, the model will truncate the input or fail. Latency, multilingual capability, and training dataset size may matter later, but they do not solve the immediate requirement of fitting the entire prompt and desired output within the model's limits.
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AWS Certified AI Practitioner AIF-C01
Applications of Foundation Models
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