AWS explains how to shrink the running cost of your customer-facing AI assistants
Why it matters
If your AI assistant makes several frontier-model calls per task, per-task cost grows with every customer, so is worth testing.
Ask your team
How many frontier-model calls does one completed task in our assistant make, and what does that cost per customer?
What happened
AWS shows how to use knowledge distillation on Amazon SageMaker AI to train a smaller model from a 's behaviour. The target is shopping assistants that make many model calls per task, where cost grows with every shopper.
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Impact on Retail & e-commerce
The context No earlier Seventy story on this in the last 30 days.
Read the original at AWS Machine Learning Blog
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