Why `OpenAI Embedding` return different vectors for the same text input?

[_j]

@leoinsight

you’d be looking up the incorrect one via your hash

There is no “incorrect one” when 9/10 are different…

Can text-embedding-ada-002 be made deterministic?

Is it possible that this is caused by selective availability, so that you can’t determine precisely when the running model is tweaked? Birthday problem done on 10 string outputs from embeddings (no math) text-similarity-ada-001: All outputs match text-similarity-babbage-001: All outputs match text-similarity-curie-001: All outputs match text-similarity-davinci-001: All outputs match text-search-ada-doc-001: All outputs match text-search-ada-query-001: All outputs match text-search-babbag…

As I show, this is not a problem had by any of the over one dozen GPT-3 embeddings.