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Today we’re excited to kick off our 2022 AWS re:Invent series with a conversation with Emad Mostaque, Founder and CEO of Stability.ai. Stability.ai is a very popular name in the generative AI space at the moment, having taken the internet by storm with the release of its stable diffusion model just a few months ago. In our conversation with Emad, we discuss the story behind Stability's inception, the model's speed and scale, and the connection between stable diffusion and programming. We explore some of the spaces that Emad anticipates being disrupted by this technology, his thoughts on the open-source vs API debate, how they’re dealing with issues of user safety and artist attribution, and of course, what infrastructure they’re using to stand the model up.
You know AWS as a cloud computing technology leader, but did you realize the company offers a broad array of services and infrastructure at all three layers of the machine learning technology stack? AWS has been focused on making ML accessible to customers of all sizes and across industries, and over 100,000 of them trust AWS for machine learning and artificial intelligence services. AWS is constantly innovating across all areas of ML including infrastructure, tools on Amazon SageMaker, and AI services, such as Amazon CodeWhisperer, an AI-powered code companion that improves developer productivity by generating code recommendations based on the code and comments in an IDE. AWS also created purpose-built ML accelerators for the training (AWS Trainium) and inference (AWS Inferentia) of large language and vision models on AWS.
To learn more about AWS ML and AI services, and how they’re helping customers accelerate their machine learning journeys, visit twimlai.com/go/awsml.