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Building Generative AI prompt chaining workflows with human in the loop

AWS Machine Learning Blog

Generative AI is a type of artificial intelligence (AI) that can be used to create new content, including conversations, stories, images, videos, and music. Like all AI, generative AI works by using machine learning models—very large models that are pretrained on vast amounts of data called foundation models (FMs).

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Transforming IT operations and application modernization with artificial intelligence

IBM Journey to AI blog

Generative AI technology is a leap ahead and can simplify application development by enabling engineers to automate code and document generation. By drawing from various foundation models, generative AI uses powerful transformers to generate content from unstructured information.

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Re-imagining Glamour Photography with Generative AI

Mlearning.ai

Despite not having done any serious photography for some years now, I too was caught up with the rest of the world when image generative AI models such as DALL-E , Midjourney or Stable Diffusion were released. Denoising Process Summary Text from a prompt is tokenized and encoded numerically. Image created by the author.

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Virtual fashion styling with generative AI using Amazon SageMaker 

AWS Machine Learning Blog

For example, a customer could select from a variety of colors, patterns, and styles, and AI models would generate a one-of-a-kind design based on those selections. The adoption of AI in the fashion industry is currently hindered by various technical, feasibility, and cost challenges.

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Dialogue-guided visual language processing with Amazon SageMaker JumpStart

AWS Machine Learning Blog

Visual language processing (VLP) is at the forefront of generative AI, driving advancements in multimodal learning that encompasses language intelligence, vision understanding, and processing. Solution overview The proposed VLP solution integrates a suite of state-of-the-art generative AI modules to yield accurate multimodal outputs.