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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 129
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Introducing multi-turn conversation with an agent node for Amazon Bedrock Flows (preview)

AWS Machine Learning

Amazon Bedrock Flows offers an intuitive visual builder and a set of APIs to seamlessly link foundation models (FMs), Amazon Bedrock features, and AWS services to build and automate user-defined generative AI workflows at scale. Test the flow Youre now ready to test the flow through the Amazon Bedrock console or API.

APIs 129
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Falcon 2 11B is now available on Amazon SageMaker JumpStart

AWS Machine Learning

Prerequisites To try out the Falcon 2 model using SageMaker JumpStart, you need the following prerequisites: An AWS account that will contain all your AWS resources. Make sure you have the account-level service limit for one or more of these instance types to deploy this model. Falcon 2 11B will require g5 and p4 instances.

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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 113
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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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Achieve operational excellence with well-architected generative AI solutions using Amazon Bedrock

AWS Machine Learning

It’s a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like Anthropic, Cohere, Meta, Mistral 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.

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Deploy self-service question answering with the QnABot on AWS solution powered by Amazon Lex with Amazon Kendra and large language models

AWS Machine Learning

Our latest QnABot releases, v5.4.0+, can now use an LLM to disambiguate customer questions by taking conversational context into account, dynamically generating answers from relevant FAQs or Amazon Kendra search results and document passages. Review your options from the qnabot-on-aws-plugin-samples repository README.