This project is oriented at getting superior performance with smaller embedding models with minimal costs by training an additional layer that adjusts embeddings according to an instruction. This would also be beneficial to users, since most popular instruct embedding models require that you pass instructions as part of your query, which not only increases embedding time for each document, but prevents you from using the embeddings for multiple tasks or experiment with different instructions.
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Applying instructions post-embedding in E5
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centre-for-humanities-computing/post-instruct
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