I’ve created 200+ SD images of a consistent character, in consistent outfits, and consistent environments – all to illustrate a story I’m writing. I don’t have it all figured out yet, but here’s everything I’ve learned so far… [GUIDE]

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I wanted to share my process, tips and tricks, and encourage you to do the same so you can develop new ideas and share them with the community as well! I’ve never been an artistic person, so this technology has been a delight, and unlocked a new ability to create engaging stories I never thought …

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The risks and limitations of AI in insurance

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Artificial intelligence (AI) is polarizing. It excites the futurist and engenders trepidation in the conservative. In my previous post, I described the different capabilities of both discriminative and generative AI, and sketched a world of opportunities where AI changes the way that insurers and insured would interact. This blog continues the discussion, now investigating the …

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Securing MLflow in AWS: Fine-grained access control with AWS native services

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With Amazon SageMaker, you can manage the whole end-to-end machine learning (ML) lifecycle. It offers many native capabilities to help manage ML workflows aspects, such as experiment tracking, and model governance via the model registry. This post provides a solution tailored to customers that are already using MLflow, an open-source platform for managing ML workflows. …

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