MLOps.community  cover image

Unpacking 3 Types of Feature Stores // Simba Khadder // #265

MLOps.community

CHAPTER

Evolving Embeddings in Deep Learning

This chapter explores the shifting perceptions of embeddings in deep learning and recommender systems, particularly after the rise of large language models. It highlights the importance of traditional models alongside modern architectures and introduces two-tower architectures for enhancing recommendation strategies.

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