Prateek Jain is a machine learning researcher and co-author of the influential Matryoshka Representation Learning (MRL) paper, which introduced adaptive-dimension embeddings that allow neural representations to be flexibly truncated without significant performance loss.
Prateek Jain appeared as a guest on ThursdAI, the weekly AI news podcast hosted by Alex Volkov. Browse the full guest directory or subscribe on Substack to never miss an episode.
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