Generative AI

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Gemma 3 27B model now available on Amazon Bedrock Marketplace and Amazon SageMaker JumpStart

Amazon Bedrock, Amazon SageMaker, Announcements, Generative AI, Technical How-to /

We are excited to announce the availability of Gemma 3 27B Instruct models through Amazon Bedrock Marketplace and Amazon SageMaker JumpStart. With this launch, developers and data scientists can now deploy Gemma 3, a 27-billion-parameter language model, along with its specialized instruction-following versions, to help accelerate building, experimentation, and scalable deployment of generative AI solutions […]

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Building a multimodal RAG based application using Amazon Bedrock Data Automation and Amazon Bedrock Knowledge Bases

Amazon Bedrock, Amazon Bedrock Knowledge Bases, Generative AI, Intermediate (200) /

Organizations today deal with vast amounts of unstructured data in various formats including documents, images, audio files, and video files. Often these documents are quite large, creating significant challenges such as slower processing times and increased storage costs. Extracting meaningful insights from these diverse formats in the past required complex processing pipelines and significant development

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How Rufus doubled their inference speed and handled Prime Day traffic with AWS AI chips and parallel decoding

Amazon Elastic Container Service, AWS Batch, AWS Inferentia, AWS Trainium, Generative AI, Technical How-to /

Large language models (LLMs) have revolutionized the way we interact with technology, but their widespread adoption has been blocked by high inference latency, limited throughput, and high costs associated with text generation. These inefficiencies are particularly pronounced during high-demand events like Amazon Prime Day, where systems like Rufus—the Amazon AI-powered shopping assistant—must handle massive scale

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New Amazon Bedrock Data Automation capabilities streamline video and audio analysis

Amazon Bedrock, Amazon Bedrock Data Automation, Announcements, Foundation models, Generative AI /

Organizations across a wide range of industries are struggling to process massive amounts of unstructured video and audio content to support their core business applications and organizational priorities. Amazon Bedrock Data Automation helps them meet this challenge by streamlining application development and automating workflows that use content from documents, images, audio, and video. Recently, we

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GuardianGamer scales family-safe cloud gaming with AWS

Amazon Bedrock, Amazon Nova, Case Study, Customer Solutions, Generative AI /

This blog post is co-written with Heidi Vogel Brockmann and Ronald Brockmann from GuardianGamer. Millions of families face a common challenge: how to keep children safe in online gaming without sacrificing the joy and social connection these games provide. In this post, we share how GuardianGamer—a member of the AWS Activate startup community—has built a

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Optimize query responses with user feedback using Amazon Bedrock embedding and few-shot prompting

Amazon Bedrock, Amazon Bedrock Prompt Management, Generative AI, Intermediate (200) /

Improving response quality for user queries is essential for AI-driven applications, especially those focusing on user satisfaction. For example, an HR chat-based assistant should strictly follow company policies and respond using a certain tone. A deviation from that can be corrected by feedback from users. This post demonstrates how Amazon Bedrock, combined with a user

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Integrate Amazon Bedrock Agents with Slack

Amazon API Gateway, Amazon Bedrock Agents, Amazon Simple Queue Service (SQS), Artificial Intelligence, AWS Lambda, AWS Secrets Manager, Generative AI, Intermediate (200), Technical How-to /

As companies increasingly adopt generative AI applications, AI agents capable of delivering tangible business value have emerged as a crucial component. In this context, integrating custom-built AI agents within chat services such as Slack can be transformative, providing businesses with seamless access to AI assistants powered by sophisticated foundation models (FMs). After an AI agent

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Secure distributed logging in scalable multi-account deployments using Amazon Bedrock and LangChain

Amazon Bedrock, AWS Identity and Access Management (IAM), Generative AI, Technical How-to /

Data privacy is a critical issue for software companies that provide services in the data management space. If they want customers to trust them with their data, software companies need to show and prove that their customers’ data will remain confidential and within controlled environments. Some companies go to great lengths to maintain confidentiality, sometimes

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Build a domain‐aware data preprocessing pipeline: A multi‐agent collaboration approach

Advanced (300), AI/ML, Amazon Bedrock, Amazon Bedrock Agents, Generative AI, Technical How-to /

Enterprises—especially in the insurance industry—face increasing challenges in processing vast amounts of unstructured data from diverse formats, including PDFs, spreadsheets, images, videos, and audio files. These might include claims document packages, crash event videos, chat transcripts, or policy documents. All contain critical information across the claims processing lifecycle. Traditional data preprocessing methods, though functional, might

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Automating complex document processing: How Onity Group built an intelligent solution using Amazon Bedrock

AI/ML, Amazon Bedrock, Amazon Bedrock Agents, Amazon Textract, Artificial Intelligence, AWS Customer, Customer Solutions, Generative AI, Generative BI /

In the mortgage servicing industry, efficient document processing can mean the difference between business growth and missed opportunities. This post explores how Onity Group, a financial services company specializing in mortgage servicing and origination, used Amazon Bedrock and other AWS services to transform their document processing capabilities. Onity Group, founded in 1988, is headquartered in

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