Open source 3D game asset generation using AWS

TutoSartup excerpt from this article:
Unlike 2D image generation, producing a usable 3D asset requires solving geometry, texturing, and physical consistency all at once, resulting in longer time spent designing and testing different models... Create an S3 bucket in your AWS account to store your images and output... Choose or create 2D images and upload to S3 The following figure shows two images that we generated of a medieval...

Extract Data with On-demand and Batch Pipelines Dynamically

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This post demonstrates an intelligent document processing pipeline that consists of both on-demand inference and batch inference options on Amazon Bedrock to enable the flexibility on the document processing time and cost... For time-sensitive requests, one can use the on-demand inference option, while the batch inference option is most cost optimized... As shown in the following diagram, this so...

Evaluate AI agents systematically with Agent-EvalKit

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Teams building AI agents typically evaluate them the way they evaluate any other software: by checking whether the output matches expectations... But agents that autonomously choose tools and sequence operations across multiple sources produce behavior that output-level testing cannot fully characterize... An agent might deliver a well-structured, actionable response while hallucinating, fabricat...

Spot trends faster, sort smarter: Unlocking Sparklines and Custom Sort in Amazon Quick

TutoSartup excerpt from this article:
Fewer follow-up questions and change requests are a strong signal that you’re on the right track... Today, we’re excited to announce two new capabilities that make Quick Sight dashboards even more expressive and business-aligned: sparklines and custom sort for controls... Custom Sort for controls gives authors the ability to define a precise, business-driven order for drop-downs, and list co...

Stop hand-tuning kernels: How Neuron Agentic Development accelerates AWS Trainium optimizations

TutoSartup excerpt from this article:
Whether delivering real-time experiences for world models, supporting deeper reasoning in agentic workflows, or reducing inference costs at scale, the gap between what hardware can theoretically deliver and what most teams achieve remains significant... What if every machine learning (ML) engineer could operate as a performance engineer, writing hardware-aware kernels, diagnosing bottlenecks, and...

Build an AI-Powered Equipment Repair Assistant Using Amazon Bedrock AgentCore

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In this post, you build an AI-powered equipment repair assistant using Amazon Bedrock AgentCore that helps farmers and field technicians diagnose equipment problems, identify required parts, and access manufacturer-approved repair procedures through natural language... The solution uses AgentCore Runtime with the Strands Agents SDK, Amazon Nova 2 Lite as the foundation model, Amazon Bedrock Know...

Introducing the Snowflake and AWS Custom Lens for the AWS Well-Architected Framework

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Running Snowflake on AWS means navigating two distinct sets of best practices simultaneously: AWS Well-Architected guidance for infrastructure, and Snowflake Well-Architected Framework guidance for compute, data organization, and governance... Without a unified review framework, security controls go unmapped to Snowflake configurations... The Snowflake and AWS Custom Well-Architected Framework Len...