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Michelle Ruwen

MichelleRuwen

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upvoted an article 11 days ago

Introducing the Ettin Reranker Family

upvoted an article 11 months ago

Training and Finetuning Sparse Embedding Models with Sentence Transformers

reacted to tomaarsen's post with ❤️ about 2 years ago

🏅 Quantized Embeddings are here! Unlike model quantization, embedding quantization is a post-processing step for embeddings that converts e.g. `float32` embeddings to binary or `int8` embeddings. This saves 32x or 4x memory & disk space, and these embeddings are much easier to compare! Our results show 25-45x speedups in retrieval compared to full-size embeddings, while keeping 96% of the performance! Learn more about it in our blogpost in collaboration with mixedbread.ai: https://huggingface.co/blog/embedding-quantization Or try out our demo where we use quantized embeddings to let you search all of Wikipedia (yes, 41,000,000 texts) in 1 second on a CPU Space: https://huggingface.co/spaces/sentence-transformers/quantized-retrieval

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