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Tag: AWS Professional Services

Fine-tune your Amazon Titan Image Generator G1 model using Amazon Bedrock model customization | Amazon Web Services

Amazon Titan lmage Generator G1 is a cutting-edge text-to-image model, available via Amazon Bedrock, that is able to understand prompts describing multiple objects in...

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Introducing Terraform support for Amazon OpenSearch Ingestion | Amazon Web Services

Today, we are launching Terraform support for Amazon OpenSearch Ingestion. Terraform is an infrastructure as code (IaC) tool that helps you build, deploy, and...

Techniques and approaches for monitoring large language models on AWS | Amazon Web Services

Large Language Models (LLMs) have revolutionized the field of natural language processing (NLP), improving tasks such as language translation, text summarization, and sentiment analysis....

How Booking.com modernized its ML experimentation framework with Amazon SageMaker | Amazon Web Services

This post is co-written with Kostia Kofman and Jenny Tokar from Booking.com. As a global leader in...

Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs | Amazon Web Services

Generative artificial intelligence (AI) applications built around large language models (LLMs) have demonstrated the potential to create and accelerate economic value for businesses. Examples...

Automatically detect Personally Identifiable Information in Amazon Redshift using AWS Glue | Amazon Web Services

With the exponential growth of data, companies are handling huge volumes and a wide variety of data including personally identifiable information (PII). PII is...

Fujitsu launches service for logistics data conversion and visualization for shippers, logistics companies, and vendors across supply chain

TOKYO, Dec 14, 2023 - (JCN Newswire) - Fujitsu today announced the launch of a new cloud-based logistics data standardization and visualization service for...

Create summaries of recordings using generative AI with Amazon Bedrock and Amazon Transcribe | Amazon Web Services

Meeting notes are a crucial part of collaboration, yet they often fall through the cracks. Between leading discussions, listening closely, and typing notes, it’s...

Modernize your ETL platform with AWS Glue Studio: A case study from BMS | Amazon Web Services

This post is co-written with Ramesh Daddala, Jitendra Kumar Dash and Pavan Kumar Bijja from Bristol Myers Squibb. ...

Create a web UI to interact with LLMs using Amazon SageMaker JumpStart | Amazon Web Services

The launch of ChatGPT and rise in popularity of generative AI have captured the imagination of customers who are curious about how they can...

Techniques for automatic summarization of documents using language models | Amazon Web Services

Summarization is the technique of condensing sizable information into a compact and meaningful form, and stands as a cornerstone of efficient communication in our...

Accelerating AI/ML development at BMW Group with Amazon SageMaker Studio | Amazon Web Services

This post is co-written with Marc Neumann, Amor Steinberg and Marinus Krommenhoek from BMW Group. The BMW...

Implement real-time personalized recommendations using Amazon Personalize | Amazon Web Services

At a basic level, Machine Learning (ML) technology learns from data to make predictions. Businesses use their data with an ML-powered personalization service to...

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