Introduction to Matryoshka Embedding Models

The article introduces Matryoshka Embedding Models, which are designed to produce useful embeddings of variable sizes, allowing for more efficient performance in downstream tasks without a significant loss in effectiveness. These models, inspired by Matryoshka dolls, prioritise important information in smaller, truncated embeddings for tasks like search or classification.

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