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Map Customer Success To Your Global Organization With SuccessTeams

Totango

This new feature en hances Totango’s already robust solution with even greater flexibility to map customer success technology to an enterprise’s existing structure of account r elationships, multi-product portfolios, and now their internal team organization.

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Deploy pre-trained models on AWS Wavelength with 5G edge using Amazon SageMaker JumpStart

AWS Machine Learning

Note that this integration is only available in us-east-1 and us-west-2 , and you will be using us-east-1 for the duration of the demo. infer_model_id = "tensorflow-tc-bert-en-uncased-L-12-H-768-A-12-2" infer_model_version= "*" endpoint_name = name_from_base(f"jumpstart-example-{infer_model_id}") # Retrieve the inference docker container uri.

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Read webpages and highlight content using Amazon Polly

AWS Machine Learning

To run this example, you need an AWS account with permission to use Amazon Polly, Amazon S3, Amazon Cognito, and (for demo purposes) AWS Cloud9. We share an AWS CloudFormation template to create in your account a self-contained demo environment to help you follow along with the post. example/tmp.ssml en-US Joanna./web/polly/PRTPStaticDefault

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4 Simple Strategies for Improved Customer Communications

Ecrion

Today’s consumer wants to feel noticed and valued, and generic communications and form emails that you send out to all of your clients en mss simply aren’t going to cut it. Get in touch with us to request a demo of our software, and learn more about how you can make every customer count.

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Make every call count: 40 voicemail greeting examples to use

BirdEye

Get started for free WATCH DEMO 40 voicemail greetings to make the right impression We get it — knowing what to say and how to say it is half the battle. If this is urgent, please email us at [address], text us at [number], or leave a detailed message, and we’ll prioritize your request. Para continuar en español, presione uno.

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Identify key insights from text documents through fine-tuning and HPO with Amazon SageMaker JumpStart

AWS Machine Learning

Now we can take a closer look at some of the assets that are included in this solution, starting with the demo notebook. Demo notebook. You can use the demo notebook to send example data to already deployed model endpoints for the document summarization and question answering tasks. Training uses five ml.g4dn.2xlarge

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Zero-shot and few-shot prompting for the BloomZ 176B foundation model with the simplified Amazon SageMaker JumpStart SDK

AWS Machine Learning

The code for all the steps in this demo is available in the following notebook. Translation: Sorry but I cannot. ### NLP Cloud permet de deployer le NLP en production facilement. If you don’t have quota for that instance, request a quota increate on the AWS Service Quotas console. Note that deploying this model requires a p4de.24xlarge