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Amazon SageMaker model parallel library now accelerates PyTorch FSDP workloads by up to 20%

AWS Machine Learning

In particular, we cover the SMP library’s new simplified user experience that builds on open source PyTorch Fully Sharded Data Parallel (FSDP) APIs, expanded tensor parallel functionality that enables training models with hundreds of billions of parameters, and performance optimizations that reduce model training time and cost by up to 20%.

Scripts 101
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Let’s talk about Chat GPT in the Contact Center

CCNG

Initially Fred helps define how Chat GPT will be useful using API's along with Adam's caution of betting on operational efficiency and accuracy too quickly - “I thought the most fascinating part for me was some members shared they have used ChatGPT for 1 to 1 functions but none has started using it commercially. says Fred.

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What is Call Scripting and How To Create it?

NobelBiz

Writing a call script is a must for contact centers that want to excel in their prospecting effort. If you write it according to the rules of the game, the script is an observable, cost-effective, and efficient method of attracting and maintaining prospects and clients. What exactly is call scripting? Why do scripts exist?

Scripts 52
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How to Create an Interactive Scavenger Hunt with Nexmo’s SMS and Voice API

Nexmo

And thus I thought it’d be fun to design and build something with Nexmo’s Voice and SMS APIs to do just that. Replace the API Key, API Secret, App ID, and your Nexmo Number. The post How to Create an Interactive Scavenger Hunt with Nexmo’s SMS and Voice API appeared first on Nexmo Developer Blog.

APIs 63
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How LotteON built a personalized recommendation system using Amazon SageMaker and MLOps

AWS Machine Learning

The main AWS services used are SageMaker, Amazon EMR , AWS CodeBuild , Amazon Simple Storage Service (Amazon S3), Amazon EventBridge , AWS Lambda , and Amazon API Gateway. Real-time recommendation inference The inference phase consists of the following steps: The client application makes an inference request to the API gateway.

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Find answers accurately and quickly using Amazon Q Business with the SharePoint Online connector

AWS Machine Learning

Any additional mappings need to be set in the user store using the user store APIs. Overview of solution This post presents the steps to create a certificate and private key, configure Azure AD (either using the Azure AD console or a PowerShell script), and configure Amazon Q Business. Using the provided PowerShell script.

Scripts 69
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Pre-training genomic language models using AWS HealthOmics and Amazon SageMaker

AWS Machine Learning

Lastly the model is tested against a set of known genome sequences using some inference API calls. Training on SageMaker We use PyTorch and Amazon SageMaker script mode to train this model. Script mode’s compatibility with PyTorch was crucial, allowing us to use our existing scripts with minimal modifications.