Sentence Transformers Library Introduces Matryoshka Embedding Models for Efficient Sentence Embedding Learning

🚀 Excited to release an updated version of PubMedBERT Embeddings with Matryoshka Representation Learning support! Thank you to @tomaarsen , @_philschmid and the @huggingface team for adding this feature to Sentence Transformers! https://t.co/n7VPWUzxzP

Philipp Schmid@_philschmid

2 years ago

Introduction to Matryoshka Embedding Models in Open Source!🪆 The embedding models from @OpenAI use a concept called Matryoshka that allows you to dynamically reduce the dimensions of your embedding to save storage and decrease latency without sacrificing much performance. 💰🏎️… https://t.co/aTKBb4XJgc

Xenova@xenovacom

2 years ago

New blog post: An Introduction to Matryoshka Embedding Models 🪆 Learn how these models are able to produce embeddings of various dimensions, how they can speed up tasks like retrieval, and how you can train your own! 👇 🔗 https://t.co/4UOy79Qsn1 https://t.co/0cWc8L3lQU