Improving User Interface Generation Models from Designer Feedback

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Despite being trained on vast amounts of data, most LLMs are unable to reliably generate well-designed UIs. Designer feedback is essential to improving performance on UI generation; however, we find that existing RLHF methods based on ratings or rankings are not well-aligned with designers’ workflows and ignore the rich rationale used to critique and improve …

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NVIDIA Rubin Platform, Open Models, Autonomous Driving: NVIDIA Presents Blueprint for the Future at CES

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

NVIDIA founder and CEO Jensen Huang took the stage at the Fontainebleau Las Vegas today to open CES 2026, declaring that AI is scaling into every domain and every device. “Computing has been fundamentally reshaped as a result of accelerated computing, as a result of artificial intelligence,” Huang said. “What that means is some $10 …

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Migrate MLflow tracking servers to Amazon SageMaker AI with serverless MLflow

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Operating a self-managed MLflow tracking server comes with administrative overhead, including server maintenance and resource scaling. As teams scale their ML experimentation, efficiently managing resources during peak usage and idle periods is a challenge. Organizations running MLflow on Amazon EC2 or on-premises can optimize costs and engineering resources by using Amazon SageMaker AI with serverless …

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Programmatically creating an IDP solution with Amazon Bedrock Data Automation

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Intelligent Document Processing (IDP) transforms how organizations handle unstructured document data, enabling automatic extraction of valuable information from invoices, contracts, and reports. Today, we explore how to programmatically create an IDP solution that uses Strands SDK, Amazon Bedrock AgentCore, Amazon Bedrock Knowledge Base, and Bedrock Data Automation (BDA). This solution is provided through a Jupyter notebook that enables users …

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Exploring the zero operator access design of Mantle

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

At Amazon, our culture, built on honest and transparent discussion of our growth opportunities, enables us to focus on investing and innovating to continually raise the standard on our ability to deliver value for our customers. Earlier this month, we had the opportunity to share an example of this process at work in Mantle, our …

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Move Beyond Chain-of-Thought with Chain-of-Draft on Amazon Bedrock

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

As organizations scale their generative AI implementations, the critical challenge of balancing quality, cost, and latency becomes increasingly complex. With inference costs dominating 70–90% of large language model (LLM) operational expenses, and verbose prompting strategies inflating token volume by 3–5x, organizations are actively seeking more efficient approaches to model interaction. Traditional prompting methods, while effective, …

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A new tool is revealing the invisible networks inside cancer

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Spanish researchers have created a powerful new open-source tool that helps uncover the hidden genetic networks driving cancer. Called RNACOREX, the software can analyze thousands of molecular interactions at once, revealing how genes communicate inside tumors and how those signals relate to patient survival. Tested across 13 different cancer types using international data, the tool …

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BED-LLM: Intelligent Information Gathering with LLMs and Bayesian Experimental Design

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We propose a general-purpose approach for improving the ability of Large Language Models (LLMs) to intelligently and adaptively gather information from a user or other external source using the framework of sequential Bayesian experimental design (BED). This enables LLMs to act as effective multi-turn conversational agents and interactively interface with external environments. Our approach, which …

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