Jeff Boudier

Every product team wants an embedded AI assistant, but closed APIs erode margins and limit customization. In this chalk talk, we architect a production solution using open building blocks: retrieval, reranking, and generation models working together in real time.

The Neuron software stack has evolved into an open source-first architecture. Developers can read, modify, and contribute to the components that compile, optimize, and execute ML workloads on Trainium.

Unlock the next generation of AI capabilities with Hugging Face on AWS AI chips. In this chalk talk, explore implementing Mixture-of-Experts (MoE) models, reasoning systems, and multi-step AI workflows.

From startups to enterprises, organizations trust AWS to innovate with comprehensive, secure, and price-performant generative AI infrastructure. Amazon SageMaker HyperPod is a purpose-built infrastructure for FM development at scale.

Generative AI is empowering organizations to innovate faster to reinvent customer experiences and applications. But how can you ensure flexibility and control within your organization for generative AI application development?

State-of-the-art deep learning (DL) models for natural language processing and computer vision tasks are complex, multi-layered neural networks with billions of parameters that can take thousands of GPU hours to train. Long model training time slows down experimentation and hinders innovation.