Recommendation models have progressed rapidly in recent years due to advances in deep learning and the use of vector embeddings. The growing complexity of these models demands robust systems to support them, which can be challenging to deploy and maintain in production. In the paper Monolith: Real Time Recommendation System With Collisionless Embedding Table, ByteDance details how they built…
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