Remove tag appliances
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Improving Support Experience Through Customer Ratings with Sense Labs

Nicereply

” Customers rely on Sense for a wide range of uses including monitoring their home appliances, determining whether they left appliances running and identifying how to reduce their energy costs. We use Zendesk to capture tags and reason codes. Listening to customers is Sense’s most effective and powerful tool. “We

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Use proprietary foundation models from Amazon SageMaker JumpStart in Amazon SageMaker Studio

AWS Machine Learning

You can identify proprietary models by the “Proprietary” tag on model cards, as shown in the following screenshot. Now let’s look at the following examples: Generate a product description Generate a body paragraph of a blog post Generate an outreach email As you can see, the Cohere Command model generated text for various generative tasks.