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Best practices for building secure applications with Amazon Transcribe

AWS Machine Learning

Because these best practices might not be appropriate or sufficient for your environment, use them as helpful considerations rather than prescriptions. Both HTTP/2 and WebSockets streaming connections are established over Transport Layer Security (TLS), which is a widely accepted cryptographic protocol. or later.

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Develop generative AI applications to improve teaching and learning experiences

AWS Machine Learning

Amazon Bedrock is a fully managed service that makes foundation models from leading AI startups and Amazon available via easy-to-use API interfaces. The solution also uses the grammatical error correction API and the paraphrase API from AI21 to recommend word and sentence corrections. The following is the generated image output.

APIs 103
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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

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Automate prior authorization using CRD with CDS Hooks and AWS HealthLake

AWS Machine Learning

Prior Authorization Support (PAS) – This allows provider systems to send (and payer systems to receive) prior authorization requests using FHIR, while still meeting regulatory mandates to have X12 278 used, where required, to transport the prior authorization, potentially simplifying processing for either exchange partner (or both).

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Build well-architected IDP solutions with a custom lens – Part 2: Security

AWS Machine Learning

All of the AWS AI services (for example, Amazon Textract , Amazon Comprehend , or Amazon Comprehend Medical ) used in IDP solutions are fully managed AI services where AWS secures their physical infrastructure, API endpoints, OS, and application code, and handles service resilience and failover within a given region.

APIs 83
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Configure an AWS DeepRacer environment for training and log analysis using the AWS CDK

AWS Machine Learning

With the help of the AWS CDK, we can version control our provisioned resources and have a highly transportable environment that complies with enterprise-level best practices. Make sure you have the credentials and permissions to deploy the AWS CDK stack into your account. Navigate to the AWS Cloud9 console.

Scripts 74
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Automate caption creation and search for images at enterprise scale using generative AI and Amazon Kendra

AWS Machine Learning

We demonstrate CDE using simple examples and provide a step-by-step guide for you to experience CDE in an Amazon Kendra index in your own AWS account. After ingestion, images can be searched via the Amazon Kendra search console, API, or SDK. However, we can use CDE for a wider range of use cases.