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Understanding prompt engineering: Unlock the creative potential of Stability AI models on AWS

AWS Machine Learning - AI

Large Medium – This refers to the material or technique used in creating the artwork. A complete prompt might read: “3D Voxel Art; wide angle shot of a bright and colorful world.” For instance, in the prompt “A realistic 3D render of a red apple,” the clarity of tokenization can significantly affect the quality of the output image.

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Generative AI-powered game design: Accelerating early development with Stability AI models on Amazon Bedrock

AWS Machine Learning - AI

Finally, use the generated images as reference material for 3D artists to create fully realized game environments. For instructions, refer to Clean up Amazon SageMaker notebook instance resources. Shes passionate about machine learning technologies and environmental sustainability. Key improvements in SD3.5

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Datagen raises $50 million Series B to empower computer vision teams

TechCrunch

With offices in Tel Aviv and New York, Datagen “is creating a complete CV stack that will propel advancements in AI by simulating real world environments to rapidly train machine learning models at a fraction of the cost,” Vitus said. ” Investors that had backed Datagen’s $18.5

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Evolution of Machine Learning, from Server to the Edge

UruIT

Traditionally, Machine Learning (ML) and Deep Learning (DL) models were implemented within an application in a server-client fashion way. However, in recent years, the concept of moving DL models to the client-side has emerged , which is, in most cases, referred to as the EDGE of the system. TensorFlow.js

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10 Key Trends of Digital Transformation in Healthcare in 2022

OTS Solutions

At the heart of this shift are AI (Artificial Intelligence), ML (Machine Learning), IoT, and other cloud-based technologies. The intelligence generated via Machine Learning. In addition, pharmaceutical businesses can generate more effective drugs and improve medical research and experimentation using machine learning.

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Evolution of Machine Learning, from Server to the Edge

UruIT

Traditionally, Machine Learning (ML) and Deep Learning (DL) models were implemented within an application in a server-client fashion way. However, in recent years, the concept of moving DL models to the client-side has emerged , which is, in most cases, referred to as the EDGE of the system. TensorFlow.js

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Build an AI-powered document processing platform with open source NER model and LLM on Amazon SageMaker

AWS Machine Learning - AI

References: What is Intelligent Document Processing (IDP)? Serverless on AWS AWS GovCloud (US) Generative AI on AWS About the Authors Nick Biso is a Machine Learning Engineer at AWS Professional Services. He solves complex organizational and technical challenges using data science and engineering.