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Amazon SageMaker Inference has been a popular tool for deploying advanced machine learning (ML) and generative AI models at scale. As AI applications become increasingly complex, customers want to deploy multiple models in a coordinated group that collectively process inference requests for an application. In addition, with the evolution of generative AI applications, many use …

Build and deploy AI inference workflows with new enhancements to the Amazon SageMaker Python SDK Read More »

To effectively convey complex information, organizations increasingly rely on visual documentation through diagrams, charts, and technical illustrations. Although text documents are well-integrated into modern knowledge management systems, rich information contained in diagrams, charts, technical schematics, and visual documentation often remains inaccessible to search and AI assistants. This creates significant gaps in organizational knowledge bases, leading …

Context extraction from image files in Amazon Q Business using LLMs Read More »

Creating professional AWS architecture diagrams is a fundamental task for solutions architects, developers, and technical teams. These diagrams serve as essential communication tools for stakeholders, documentation of compliance requirements, and blueprints for implementation teams. However, traditional diagramming approaches present several challenges: Time-consuming process – Creating detailed architecture diagrams manually can take hours or even days …

Build AWS architecture diagrams using Amazon Q CLI and MCP Read More »

Learn more about expanded access to Google Vids for all education users, and Gemini in Classroom, a new suite of no-cost AI tools available for educators. ​ 

Managing and optimizing AWS infrastructure costs is a critical challenge for organizations of all sizes. Traditional cost analysis approaches often involve the following: Complex spreadsheets – Creating and maintaining detailed cost models, which requires significant effort Multiple tools – Switching between the AWS Pricing Calculator, AWS Cost Explorer, and third-party tools Specialized knowledge – Understanding …

AWS costs estimation using Amazon Q CLI and AWS Cost Analysis MCP Read More »

Amazon Bedrock Guardrails provides configurable safeguards to help build trusted generative AI applications at scale. It provides organizations with integrated safety and privacy safeguards that work across multiple foundation models (FMs), including models available in Amazon Bedrock, as well as models hosted outside Amazon Bedrock from other model providers and cloud providers. With the standalone …

Tailor responsible AI with new safeguard tiers in Amazon Bedrock Guardrails Read More »

We love seeing how you’re using Ask Photos in early access, like asking “suggest photos that’d make great phone backgrounds” or “what did I eat on my trip to Barcelona?”… ​ 

Generative AI is revolutionizing industries by streamlining operations and enabling innovation. While textual chat interactions with GenAI remain popular, real-world applications often depend on structured data for APIs, databases, data-driven workloads, and rich user interfaces. Structured data can also enhance conversational AI, enabling more reliable and actionable outputs. A key challenge is that LLMs (Large …

Structured data response with Amazon Bedrock: Prompt Engineering and Tool Use Read More »

The successful deorbit, descent, and landing of spacecraft on the Moon requires precise control and monitoring of vehicle dynamics. Anomaly detection provides a unique utility for identifying important states that might represent vehicle behaviors of interest. By producing unique vehicle behavior points, critical spacecraft system states can be identified to be more appropriately addressed and …

Using Amazon SageMaker AI Random Cut Forest for NASA’s Blue Origin spacecraft sensor data Read More »