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Build a contextual text and image search engine for product recommendations using Amazon Bedrock and Amazon OpenSearch Serverless

AWS Machine Learning - AI

With cosine similarity, you can measure the orientation between two vectors, which makes it a good choice for some specific semantic search applications. A multimodal embeddings model is designed to learn joint representations of different modalities like text, images, and audio.

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Striving for the Application Development Specialization with Google Cloud Platform

Perficient

A third specialization, and the focus of this blog post, is Application Development. While a few of these claims may be true, it’s with ease we can disregard them en masse, because anyone who has spent time in the business of application development knows that it is an investment, it takes time, and it takes expertise.

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Build an end-to-end RAG solution using Knowledge Bases for Amazon Bedrock and AWS CloudFormation

AWS Machine Learning - AI

Prerequisites To implement the solution provided in this post, you should have the following: An active AWS account and familiarity with FMs, Amazon Bedrock, and OpenSearch Serverless. He specializes in generative AI, machine learning, and system design. An S3 bucket where your documents are stored in a supported format (.txt,md,html,doc/docx,csv,xls/.xlsx,pdf).

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Build an end-to-end RAG solution using Knowledge Bases for Amazon Bedrock and the AWS CDK

AWS Machine Learning - AI

By using the AWS CDK, the solution sets up the necessary resources, including an AWS Identity and Access Management (IAM) role, Amazon OpenSearch Serverless collection and index, and knowledge base with its associated data source. He specializes in generative AI, machine learning, and system design.

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High-performance computing on AWS

Xebia

HPC services on AWS Compute Technically you could design and build your own HPC cluster on AWS, it will work but you will spend time on plumbing and undifferentiated heavy lifting. It’s built on serverless services (API Gateway / Lambda) and provides the same functionality as the CLI tool pcluster.

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How Mixbook used generative AI to offer personalized photo book experiences

AWS Machine Learning - AI

It offers flexible capacity options, ranging from serverless on one end to reserved provisioned instances for predictable long-term use on the other. He draws on over a decade of hands-on experience in web development, system design, and data engineering to drive elegant solutions for complex problems.

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Create a generative AI-based application builder assistant using Amazon Bedrock Agents

AWS Machine Learning - AI

In this post, we set up an agent using Amazon Bedrock Agents to act as a software application builder assistant. Amazon Bedrock Agents helps you accelerate generative AI application development by orchestrating multistep tasks. This offers tremendous use case flexibility, enables dynamic workflows, and reduces development cost.