Upskilling and reskilling for talent transformation in the era of AI

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Artificial intelligence (AI) represents a once-in-a-lifetime change management opportunity that might decide who wins and losses across every industry. As the AI era takes shape through digital transformation initiatives, executives and employees alike are contemplating how it affects employment and the skills needed to stay ahead. This is where AI upskilling and reskilling come into …

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Evaluation of generative AI techniques for clinical report summarization

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

In part 1 of this blog series, we discussed how a large language model (LLM) available on Amazon SageMaker JumpStart can be fine-tuned for the task of radiology report impression generation. Since then, Amazon Web Services (AWS) has introduced new services such as Amazon Bedrock. This is a fully managed service that offers a choice …

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Dial It In: Data Centers Need New Metric for Energy Efficiency

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Data centers need an upgraded dashboard to guide their journey to greater energy efficiency, one that shows progress running real-world applications. The formula for energy efficiency is simple: work done divided by energy used. Applying it to data centers calls for unpacking some details. Today’s most widely used gauge — power usage effectiveness (PUE)  — …

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How to Use Stable Diffusion Effectively

by AI Generated Robotic ContentAI/ML ResearchPosted on Comments are Disabled

From the prompt to the picture, Stable Diffusion is a pipeline with many components and parameters. All these components working together creates the output. If a component behave differently, the output will change. Therefore, a bad setting can easily ruin your picture. In this post, you will see: How the different components of the Stable …

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