Pie & AI Montevideo: Diffusion Models and NNX: A new high level API for JAX

El 26 de junio se llevará a cabo un nuevo evento de Pie & AI de la comunidad de deeplearning.ai en Montevideo. El evento será presencial en las oficinas de MARVIK. Bv. Gral. Artigas 1112, Montevideo, Uruguay.
Este evento forma parte de la serie Pie & AI de deeplearning.ai: https://www.deeplearning.ai/events/

El evento tiene cupos limitados. Para participar, deben inscribirse a través de la lista de attendees de Meetup.

En caso de completarse los cupos quedará habilitada una lista de espera. Los invitamos a anotarse y les confirmaremos en caso de liberarse un espacio. Quienes queden en lista de espera también tendrán la posibilidad de participar de forma virtual.
Zoom Link: https://us02web.zoom.us/j/89437957165
Youtube Link: https://www.youtube.com/live/ns2rIls_F1I?si=47tHlnOvT1iGqk9Z

👉 Contenidos

• “Infinite Personalization with Diffusion Models”
Speaker: Ramiro García
Description: In this talk, we’ll see an overview of diffusion models, explaining how they transform text into detailed images. You will learn how these models work, understand the underlying principles, and see practical demonstrations of controlling image generation with a single input. This session is perfect for those new to the topic and interested in using AI for personalized image creation. By the end, you will be equipped with the knowledge to start experimenting with diffusion models in your own projects.

• “Back to Basics: NNX A new high level API for JAX and TPU v5"
Speaker: David Cardozo
Description: In this talk we introduce NNX a Google DeepMind high level API that is at the backbone of many vision and multimodal models at Google and OpenSource, we will do an historical review with examples with the objective of launching a small tpuv5 training using Kubeflow and Vertex. This session is a good intro for practitioners and students interested in numerical and scientific computing and MLOps.

👉 Sobre los oradores:

Ramiro García: Currently based in Montevideo, Uruguay, Ramiro has extensive experience in tackling computer vision problems and has been working with diffusion models since their inception. Passionate about contributing to the community, he regularly shares his knowledge through videos and articles.

David Cardozo: Currently based in Quebec, Canada. David is passionate about multiplying matrices at universe scale. Advisor to many companies in the private and public sector, David is engaged with the open source community as a Google Developer Expert in AI, Docker Captain, and technical coach for machine learning engineers.

👉 Sponsors:
Marvik y deeplearning.ai 🤖

¡Los esperamos!

Link al evento por streaming: TBD