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In the provided examples GPL us used for semantic search tasks: given a query, relevant results should be retrieved. Is it also the recommended approach to get meaningful embeddings / bi-encoders, or is it better to use TSDAE?
The text was updated successfully, but these errors were encountered:
I was wondering the same thing, any update on this?
Intuitively it should work, but it is unclear how it compares to solely using TSDAE or using a both methods.
I went for TSDAE with finetuning on nli and sts corpora (there are scripts on the sentence transformer github that you can use). Seems to have worked great!
In the provided examples GPL us used for semantic search tasks: given a query, relevant results should be retrieved. Is it also the recommended approach to get meaningful embeddings / bi-encoders, or is it better to use TSDAE?
The text was updated successfully, but these errors were encountered: