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Accelerate AWS Well-Architected reviews with Generative AI

AWS Machine Learning

Building cloud infrastructure based on proven best practices promotes security, reliability and cost efficiency. We demonstrate how to harness the power of LLMs to build an intelligent, scalable system that analyzes architecture documents and generates insightful recommendations based on AWS Well-Architected best practices.

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Image and video prompt engineering for Amazon Nova Canvas and Amazon Nova Reel

AWS Machine Learning

Nova Canvas, a state-of-the-art image generation model, creates professional-grade images from text and image inputs, ideal for applications in advertising, marketing, and entertainment. For best results, place camera movement descriptions at the start or end of your prompt. Specify what you want to include rather than what to exclude.

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Maximizing ROI with CPQ: 10 Best Practices for Sales Success

Cincom

This article outlines 10 CPQ best practices to help optimize your performance, eliminate inefficiencies, and maximize ROI. Use APIs and middleware to bridge gaps between CPQ and existing enterprise systems, ensuring smooth data flow. Conduct quarterly training refreshers to introduce new features and best practices.

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Best practices for TensorFlow 1.x acceleration training on Amazon SageMaker

AWS Machine Learning

Today, a lot of customers are using TensorFlow to train deep learning models for their clickthrough rate in advertising and personalization recommendations in ecommerce. We discuss best practices in the following areas: Accelerate training on a single instance. x on SageMaker. Accelerate training on multiple instances.

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Best practices to build generative AI applications on AWS

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 via a single API. This is because such tasks require organization-specific data and workflows that typically need custom programming.

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

AWS Machine Learning

Refer to Getting started with the API to set up your environment to make Amazon Bedrock requests through the AWS API. Test the code using the native inference API for Anthropics Claude The following code uses the native inference API to send a text message to Anthropics Claude. client = boto3.client("bedrock-runtime",

Education 114
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Revolutionize logo design creation with Amazon Bedrock: Embracing generative art, dynamic logos, and AI collaboration

AWS Machine Learning

Amazon Bedrock enables access to powerful generative AI models like Stable Diffusion through a user-friendly API. One of its primary applications lies in advertising and marketing, where it can be used to create personalized ad campaigns and an unlimited number of marketing assets. This API will be used to invoke the Lambda function.

APIs 132