Generative AI

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Supercharge your development with Claude Code and Amazon Bedrock prompt caching

Amazon Bedrock, Artificial Intelligence, Foundation models, Generative AI, Technical How-to /

Prompt caching in Amazon Bedrock is now generally available, delivering performance and cost benefits for agentic AI applications. Coding assistants that process large codebases represent an ideal use case for prompt caching. In this post, we’ll explore how to combine Amazon Bedrock prompt caching with Claude Code—a coding agent released by Anthropic that is now […]

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Unlocking the power of Model Context Protocol (MCP) on AWS

Foundation models, Generative AI, Intermediate (200), Technical How-to /

We’ve witnessed remarkable advances in model capabilities as generative AI companies have invested in developing their offerings. Language models such as Anthropic’s Claude Opus 4 & Sonnet 4, Amazon Nova, and Amazon Bedrock can reason, write, and generate responses with increasing sophistication. But even as these models grow more powerful, they can only work with

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Build a scalable AI assistant to help refugees using AWS

AI/ML, Amazon Bedrock, Amazon Machine Learning, Amazon Rekognition, Amazon Translate, Architecture, Artificial Intelligence, Customer Solutions, Generative AI /

This post is co-written with Taras Tsarenko, Vitalil Bozadzhy, and Vladyslav Horbatenko.  As organizations worldwide seek to use AI for social impact, the Danish humanitarian organization Bevar Ukraine has developed a comprehensive virtual generative AI-powered assistant called Victor, aimed at addressing the pressing needs of Ukrainian refugees integrating into Danish society. This post details our

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Enhanced diagnostics flow with LLM and Amazon Bedrock agent integration

AI/ML, Amazon Bedrock, Amazon Bedrock Agents, Amazon Machine Learning, AWS Customer, Customer Solutions, Generative AI /

Noodoe is a global leader in EV charging innovation, offering advanced solutions that empower operators to optimize their charging station operations and provide exceptional user experiences. Their universal charging stations are compatible with all EV brands and feature intuitive payment options, including credit cards and Apple Pay. Powered by the Noodoe EV OS cloud management

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Fast-track SOP processing using Amazon Bedrock

Advanced (300), AI/ML, Amazon Bedrock, Amazon Simple Storage Service (S3), AWS Customer, AWS Deep Learning, Case Study, Foundation models, Generative AI, HCLS, Healthcare, Life Sciences, Public Sector, Technical How-to /

Standard operating procedures (SOPs) are essential documents in the context of regulations and compliance. SOPs outline specific steps for various processes, making sure practices are consistent, efficient, and compliant with regulatory standards. SOP documents typically include key sections such as the title, scope, purpose, responsibilities, procedures, documentation, citations (references), and a detailed approval and revision

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Going beyond AI assistants: Examples from Amazon.com reinventing industries with generative AI

Amazon Bedrock, Amazon Bedrock Agents, Amazon Machine Learning, Artificial Intelligence, Generative AI, Retail /

Generative AI revolutionizes business operations through various applications, including conversational assistants such as Amazon’s Rufus and Amazon Seller Assistant. Additionally, some of the most impactful generative AI applications operate autonomously behind the scenes, an essential capability that empowers enterprises to transform their operations, data processing, and content creation at scale. These non-conversational implementations, often in

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Architect a mature generative AI foundation on AWS

Best Practices, Generative AI, Intermediate (200), Thought Leadership /

Generative AI applications seem simple—invoke a foundation model (FM) with the right context to generate a response. In reality, it’s a much more complex system involving workflows that invoke FMs, tools, and APIs and that use domain-specific data to ground responses with patterns such as Retrieval Augmented Generation (RAG) and workflows involving agents. Safety controls

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Bridging the gap between development and production: Seamless model lifecycle management with Amazon Bedrock

Amazon Bedrock, Generative AI, Intermediate (200), Technical How-to /

In the landscape of generative AI, organizations are increasingly adopting a structured approach to deploy their AI applications, mirroring traditional software development practices. This approach typically involves separate development and production environments, each with its own AWS account, to create logical separation, enhance security, and streamline workflows. Amazon Bedrock is a fully managed service that

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Text-to-image basics with Amazon Nova Canvas

Amazon Nova, Best Practices, Foundational (100), Generative AI, Python, Technical How-to /

AI image generation has emerged as one of the most transformative technologies in recent years, revolutionizing how you create and interact with visual content. Amazon Nova Canvas is a generative model in the suite of Amazon Nova creative models that enables you to generate realistic and creative images from plain text descriptions. This post serves

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A generative AI prototype with Amazon Bedrock transforms life sciences and the genome analysis process

Advanced (300), AIML, Amazon API Gateway, Amazon Athena, Amazon Bedrock, Amazon DynamoDB, Amazon Simple Storage Service (S3), AWS Amplify, AWS AppSync, AWS Lambda, Customer Enablement, Customer Solutions, Generative AI, HCLS, How-To, Life Sciences, Machine Learning, Natural Language Processing, Technical How-to /

It takes biopharma companies over 10 years, at a cost of over $2 billion and with a failure rate of over 90%, to deliver a new drug to patients. The Market to Molecule (M2M) value stream process, which biopharma companies must apply to bring new drugs to patients, is resource-intensive, lengthy, and highly risky. Nine

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