Stable Diffusion & Generative AI with Emad Mostaque
About this Episode
About the Guest
Emad Mostaque
Stability.ai
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Thanks to our sponsor Amazon Web Services
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 helped more than 100,000 customers of all sizes and across industries to innovate using ML and AI with industry-leading capabilities and they’re taking the same approach to make it easy, practical, and cost-effective for customers to use generative AI in their businesses. At the bottom layer of the ML stack, they’re making generative AI cost-efficient with Amazon EC2 Inf2 instances powered by AWS Inferentia2 chips. At the middle layer, they’re making generative AI app development easier with Amazon Bedrock, a managed service that makes pre-trained FMs easily accessible via an API. And at the top layer, Amazon CodeWhisperer is generally available now, with support for more than 10 programming languages.
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.
Resources
- AWS Blog: How to use Stable Diffusion with SageMaker JumpStart
- Get started with Stable Diffusion on JumpStart Vision-based Built-In Algorithms
- SageMaker JumpStart foundation models
- Notebook to get started with Stable Diffusion on SageMaker
- Discover the latest Stable Diffusion versions on SageMaker JumpStart
- Text Generation with GPT and Bloom models on JumpStart
- Natural language processing (NLP) on JumpStart for benchmarks and tasks, such as machine translation, data generation and summarization
- Stability.ai
- Paper: High-Resolution Image Synthesis with Latent Diffusion Models
- Spider-Man: EVERYONE’S HOME!
- EleutherAI
- An empirical analysis of compute-optimal large language model training