Session

Feature Store and Embedding Store: Better Together - Lyft's Journey

At Lyft, we've discovered the power of combining our Feature Store with an Embedding Store to enhance our machine learning capabilities. This talk will explore our journey in integrating embeddings into our existing Feature Service infrastructure, highlighting the synergies, benefits we've uncovered along the way and share insights on how this integration has empowered our ML practitioners to build more sophisticated models.

Ravi Magham

Lyft

San Francisco, California, United States

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