Remove Accountability Remove Presentation Remove Scripts
article thumbnail

Create a generative AI–powered custom Google Chat application using Amazon Bedrock

AWS Machine Learning

An AWS account and an AWS Identity and Access Management (IAM) principal with sufficient permissions to create and manage the resources needed for this application. If you don’t have an AWS account, refer to How do I create and activate a new Amazon Web Services account? The script deploys the AWS CDK project in your account.

APIs 125
article thumbnail

Customized model monitoring for near real-time batch inference with Amazon SageMaker

AWS Machine Learning

In this post, we present a framework to customize the use of Amazon SageMaker Model Monitor for handling multi-payload inference requests for near real-time inference scenarios. A preprocessor script is a capability of SageMaker Model Monitor to preprocess SageMaker endpoint data capture before creating metrics for model quality.

Scripts 117
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Live Chat Scripts for Sales and Customer Service

ProProfs Blog

What makes live chat scripts so important for sales and customer service? To realize all the benefits of live chat scripts, you need to understand the importance of chat etiquette for your customers’ experience and satisfaction. Useful Customer Service Scripts Templates And Examples. Customer Service Greetings Scripts.

Scripts 133
article thumbnail

Transcribe, translate, and summarize live streams in your browser with AWS AI and generative AI services

AWS Machine Learning

This innovative feature empowers viewers to catch up with what is being presented, making it simpler to grasp key points and highlights, even if they have missed portions of the live stream or find it challenging to follow complex discussions. After the deployment is complete, you have two options.

APIs 134
article thumbnail

6 Killer Applications for Artificial Intelligence in the Customer Engagement Contact Center

If Artificial Intelligence for businesses is a red-hot topic in C-suites, AI for customer engagement and contact center customer service is white hot. This white paper covers specific areas in this domain that offer potential for transformational ROI, and a fast, zero-risk way to innovate with AI.

article thumbnail

Centralize model governance with SageMaker Model Registry Resource Access Manager sharing

AWS Machine Learning

We recently announced the general availability of cross-account sharing of Amazon SageMaker Model Registry using AWS Resource Access Manager (AWS RAM) , making it easier to securely share and discover machine learning (ML) models across your AWS accounts. Mitigation strategies : Implementing measures to minimize or eliminate risks.

article thumbnail

Accelerate digital pathology slide annotation workflows on AWS using H-optimus-0

AWS Machine Learning

This diagram illustrates the solution architecture for training and deploying fine-tuned FMs using H-optimus-0 This post provides example scripts and training notebooks in the following GitHub repository. Prerequisites We assume you have access to and are authenticated in an AWS account. medium instances to host the SageMaker notebook.