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Considerations for addressing the core dimensions of responsible AI for Amazon Bedrock applications

AWS Machine Learning

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

APIs 112
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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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Top 7 Features to Look for in a Medical Call Center Service

TeleDirect

Customizable Scripts and Call Flows No two practices are alike. The right medical call center will offer customizable scripting and call flow options that align with your office procedures, from intake protocols to escalation processes. Contact us today to schedule a free consultation.

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Secure Amazon SageMaker Studio presigned URLs Part 3: Multi-account private API access to Studio

AWS Machine Learning

In the post Secure Amazon SageMaker Studio presigned URLs Part 2: Private API with JWT authentication , we demonstrated how to build a private API to generate Amazon SageMaker Studio presigned URLs that are only accessible by an authenticated end-user within the corporate network from a single account.

APIs 97
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Automate the insurance claim lifecycle using Agents and Knowledge Bases for Amazon Bedrock

AWS Machine Learning

At the forefront of this evolution sits Amazon Bedrock , a fully managed service that makes high-performing foundation models (FMs) from Amazon and other leading AI companies available through an API. System integration – Agents make API calls to integrated company systems to run specific actions.

APIs 141
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Derive generative AI powered insights from Alation Cloud Services using Amazon Q Business Custom Connector

AWS Machine Learning

We recommend running similar scripts only on your own data sources after consulting with the team who manages them, or be sure to follow the terms of service for the sources that youre trying to fetch data from. A simple architectural representation of the steps involved is shown in the following figure. secrets_manager_client = boto3.client('secretsmanager')

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

AWS Machine Learning

We suggest consulting LLM prompt engineering documentation such as Anthropic prompt engineering for experiments. Refer to Getting started with the API to set up your environment to make Amazon Bedrock requests through the AWS API. I've immediately revoked the compromised API credentials and initiated our security protocol.

Education 112