Minds Behind Maps cover image

What does a Foundational Model of Earth look like? Clay Foundation: Bruno Sanchez-Andrade Nuño - MBM#67

Minds Behind Maps

CHAPTER

Foundational Models and their Versatility

This chapter explores the concept of foundational models and their flexibility compared to task-specific models like image segmentation. It delves into pre-training models on large datasets and fine-tuning for specific tasks, showcasing how foundational models enable options like freezing layers and creating embeddings. The discussion also highlights the application of transformers in creating a universal learner for Earth observation at scale through mechanisms like masked auto encoders.

00:00
Transcript
Play full episode

Remember Everything You Learn from Podcasts

Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.
App store bannerPlay store banner