A session on demystifying generative AI on AWS, focused on helping audiences understand how foundation models work, where large language models fit within the broader AI landscape, and how organizations can start applying these capabilities in practice. The talk covered common generative AI use cases, public sector applications across education, government, and healthcare, and the core AWS services that support this space, including Amazon Bedrock, Amazon SageMaker, and SageMaker JumpStart. I also discuss practical approaches for customization, fine tuning, and retrieval augmented generation to build scalable, secure, and domain specific AI applications.

Slides