Remove Accountability Remove APIs Remove Scripts Remove Video
article thumbnail

Build a custom UI for Amazon Q Business

AWS Machine Learning

This solution uses an Amazon Cognito user pool as an OAuth-compatible identity provider (IdP), which is required in order to exchange a token with AWS IAM Identity Center and later on interact with the Amazon Q Business APIs. Amazon Q uses the chat_sync API to carry out the conversation. You can also find the script on the GitHub repo.

APIs 95
article thumbnail

Run image segmentation with Amazon SageMaker JumpStart

AWS Machine Learning

We explore two ways of obtaining the same result: via JumpStart’s graphical interface on Amazon SageMaker Studio , and programmatically through JumpStart APIs. Review training videos and blogs – JumpStart also provides numerous blog posts and videos that teach you how to use different functionalities within SageMaker.

APIs 79
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

Multilingual customer support translation made easy on Salesforce Service Cloud using Amazon Translate

AWS Machine Learning

Amazon API Gateway with AWS Lambda integration that converts the input text to the target language using the Amazon Translate SDK. This solution has the following prerequisites: An AWS account. A Salesforce Trailhead account associated with your Salesforce Developer Edition org. Prerequisites. Salesforce Code Builder.

article thumbnail

Deploy generative AI models from Amazon SageMaker JumpStart using the AWS CDK

AWS Machine Learning

Generative AI is a type of AI that can create new content and ideas, including conversations, stories, images, videos, and music. Model data is stored on Amazon Simple Storage Service (Amazon S3) in the JumpStart account. Prerequisites You must have the following prerequisites: An AWS account The AWS CLI v2 Python 3.6

APIs 93
article thumbnail

Enable fully homomorphic encryption with Amazon SageMaker endpoints for secure, real-time inferencing

AWS Machine Learning

Applications and services can call the deployed endpoint directly or through a deployed serverless Amazon API Gateway architecture. To learn more about real-time endpoint architectural best practices, refer to Creating a machine learning-powered REST API with Amazon API Gateway mapping templates and Amazon SageMaker.

Scripts 97
article thumbnail

How to decide between Amazon Rekognition image and video API for video moderation

AWS Machine Learning

In a recent survey, 79% of consumers stated they rely on user videos, comments, and reviews more than ever and 78% of them said that brands are responsible for moderating such content. Amazon Rekognition has two sets of APIs that help you moderate images or videos to keep digital communities safe and engaged.

APIs 67
article thumbnail

Incremental training with Amazon SageMaker JumpStart

AWS Machine Learning

Recently, we also announced the launch of easy-to-use JumpStart APIs as an extension of the SageMaker Python SDK, allowing you to programmatically deploy and fine-tune a vast selection of JumpStart-supported pre-trained models on your own datasets. JumpStart provides sample notebooks that you can use to quickly apply these algorithms.

Scripts 67