Architecture Best Practices for Machine Learning

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Featured topic: Generative AI

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What is Generative AI?

Learn what generative artificial intelligence is, how it works, and how you can use it to reinvent most customer experiences and create new applications.

AWS CAF for AI, ML, and Generative AI

We outline the AWS Cloud Adoption Framework for AI, ML, and Generative AI, which describes an AI/ML journey that customers go through as they mature.

Getting Started with Generative AI and Foundation Models

We provide an overview of the foundation model space, present a broad overview of the landscape, and outline opportunities and risks for LLMs.
Guidance for Image-to-Text and Image-to-Speech on AWS

Learn how to convert images to text and speech with machine learning and generative AI services on AWS.

New Technical Deep Dive Course: Generative AI Foundations on AWS

Introducing a deep dive course that gives you the conceptual fundamentals, practical advice, and hands-on guidance to deploy foundation models.

Guidance for Developing Applications Using Generative AI with Amazon CodeWhisperer

We demonstrate how CodeWhisperer can generate code for various uses such as unit testing, and creating and integrating with AWS resources.
Generative AI Apps With Amazon Bedrock: Getting Started for Go Developers

We show Go developers how to get started building Generative AI applications using Amazon Bedrock and the AWS Go SDK.

Serverless Image Generation Application Using Generative AI on AWS

We walk you through how to deploy a Serverless image generation application implemented using AWS Lambda and Amazon Bedrock.

Build a Python Event-driven Serverless App with Amazon CodeWhisperer

We show you how you can use Amazon CodeWhisperer to build a Python event-driven serverless application.
Generative AI Application Builder on AWS

Deploy a solution that facilitates the development, rapid experimentation, and deployment of generative AI applications.

Guidance for Generative AI Deployments using Amazon SageMaker JumpStart

Launch a generative artificial intelligence (AI) model provided by Amazon SageMaker JumpStart to create an asynchronous SageMaker endpoint.

QnABot on AWS

Deploy a multi-channel, multi-language conversational interface (chatbot) that responds to your customer’s questions, answers, and feedback.
Monitoring Generative AI Applications Using Amazon Bedrock and Amazon CloudWatch Integration

We dive deeper into how you can use Amazon CloudWatch to monitor Amazon Bedrock in near real-time, with metrics and logs.

Create a Generative AI Gateway to Allow Secure and Compliant Consumption of Foundation Models

We explain what a Generative Artificial Intelligence (AI) Gateway is, its benefits, and how to architect one on AWS.

AWS Generative AI Best Practices Framework V1

Learn how to use AWS Audit Manager to gain visibility into how your generative AI implementation is performing.

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