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AI-Powered Construction Document Analysis by Leveraging Computer Vision and Large Language Models
TwinKnowledge collaborated with AWS’s PACE team to develop a scalable computer vision and Large Language Model solution that efficiently processes thousands of architectural drawings while maintaining high accuracy, helping to reduce construction document errors and improve project efficiency through AI-augmented human review processes.
No-Code ML Approach to Predict Heart Disease with Amazon SageMaker Canvas
Build accurate predictive models for early disease detection, as demonstrated through a heart disease prediction use case that transformed complex medical data into actionable insights without requiring coding expertise.
Enhancing Code Generation with Real-Time Execution in Amazon Q Developer
The Amazon Q Developer agent has evolved from a code generation tool to a comprehensive development assistant that can now build and test code in real-time within a secure sandbox environment.