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Achieve multi-Region resiliency for your conversational AI chatbots with Amazon Lex

AWS Machine Learning

Solution overview For this exercise, we create a BookHotel bot as our sample bot. Enabling Global Resiliency for an Amazon Lex bot is straightforward using the AWS Management Console , AWS Command Line Interface (AWS CLI), or APIs. If this option isn’t visible, the Global Resiliency feature may not be enabled for your account.

Chatbots 113
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Generate training data and cost-effectively train categorical models with Amazon Bedrock

AWS Machine Learning

Besides the time in review and labeling, there is an upfront investment in training the labelers so the exercise split between 10 or more labelers is consistent. Amazon Bedrock is well-suited for this data augmentation exercise to generate high-quality ground truth data. A way to test the models output for accuracy. client = boto3.client("bedrock-runtime",

Education 112
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Combine keyword and semantic search for text and images using Amazon Bedrock and Amazon OpenSearch Service

AWS Machine Learning

Send the text, images, and metadata to Amazon Bedrock using its API to generate embeddings using the Amazon Titan Multimodal Embeddings G1 model. The Amazon Bedrock API replies with embeddings to the Jupyter notebook. Prerequisites For this walkthrough, you should have the following prerequisites: An AWS account.

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Create an end-to-end serverless digital assistant for semantic search with Amazon Bedrock

AWS Machine Learning

Amazon Bedrock is a fully managed service that makes a wide range of foundation models (FMs) available though an API without having to manage any infrastructure. Amazon API Gateway and AWS Lambda to create an API with an authentication layer and integrate with Amazon Bedrock. An API created with Amazon API Gateway.

APIs 142
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Orchestrate generative AI workflows with Amazon Bedrock and AWS Step Functions

AWS Machine Learning

Cloud providers have recognized the need to offer model inference through an API call, significantly streamlining the implementation of AI within applications. Although a single API call can address simple use cases, more complex ones may necessitate the use of multiple calls and integrations with other services.

APIs 100
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Deploy a Slack gateway for Amazon Bedrock

AWS Machine Learning

The Slack application sends the event to Amazon API Gateway , which is used in the event subscription. API Gateway forwards the event to an AWS Lambda function. If you don’t have an AWS account, see How do I create and activate a new Amazon Web Services account? If you don’t have model permission, refer to Model access.

APIs 107
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Govern generative AI in the enterprise with Amazon SageMaker Canvas

AWS Machine Learning

With the rise of powerful foundation models (FMs) powered by services such as Amazon Bedrock and Amazon SageMaker JumpStart , enterprises want to exercise granular control over which users and groups can access and use these models. Provide the AWS Region, account, and model IDs appropriate for your environment.