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Text embeddings should not be used as a form of encryption. They are optimized to contain as much information as possible from the text they represent and can often be decoded into their input: https://arxiv.org/abs/2310.06816



Great answer! And your blog is great, too!


Yep and embeddings can be decoded back into meaningful text if you have the model weights and the tokenizer.




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