Hello Michael, I don't have personal experience with these models, but I found this article insightful: https://medium.com/@nils_reimers/openai-gpt-3-text-embeddings-really-a-new-state-of-the-art-in-dense-text-embeddings-6571fe3ec9d9. It evaluates the OpenAI models against a variety of existing models on tasks like sentence similarity and text retrieval. Although the other models are cheaper and have fewer dimensions, the OpenAI ones perform similarly or worse. This got me thinking that they might not be a good cost/ effectiveness trade-off, especially the larger ones with 4096 or 12288 dimensions.
Julie On Sun, Feb 13, 2022 at 1:55 AM Michael Wechner <michael.wech...@wyona.com> wrote: > Re the OpenAI embedding the following recent paper might be of interest > > https://arxiv.org/pdf/2201.10005.pdf > > (Text and Code Embeddings by Contrastive Pre-Training, Jan 24, 2022) > > Thanks > > Michael > > Am 13.02.22 um 00:14 schrieb Michael Wechner: > > Here a concrete example where I combine OpenAI model > "text-similarity-ada-001" with Lucene vector search > > INPUT sentence: "What is your age this year?" > > Result sentences > > 1) How old are you this year? > score '0.98860765' > > 2) What was your age last year? > score '0.97811764' > > 3) What is your age? > score '0.97094905' > > 4) How old are you? > score '0.9600177' > > > Result 1 is great and result 2 looks similar, but is not correct from an > "understanding" point of view and results 3 and 4 are good again. > > I understand "similarity" is not the same as "understanding", but I hope > it makes it clearer what I am looking for :-) > > Thanks > > Michael > > > > Am 12.02.22 um 22:38 schrieb Michael Wechner: > > Hi Alessandro > > I am mainly interested in detecting similarity, for example whether the > following two sentences are similar resp. likely to mean the same thing > > "How old are you?" > "What is your age?" > > and that the following two sentences are not similar, resp. do not mean > the same thing > > "How old are you this year?" > "How old have you been last year?" > > But also performance or how OpenAI embeddings compare for example with > SBERT (https://sbert.net/docs/usage/semantic_textual_similarity.html) > > Thanks > > Michael > > > > Am 12.02.22 um 20:41 schrieb Alessandro Benedetti: > > Hi Michael, experience to what extent? > We have been exploring the area for a while given we contributed the first > neural search milestone to Apache Solr. > What is your curiosity? Performance? Relevance impact? How to integrate > it? > Regards > > On Fri, 11 Feb 2022, 22:38 Michael Wechner, <michael.wech...@wyona.com> > wrote: > >> Hi >> >> Does anyone have experience using OpenAI embeddings in combination with >> Lucene vector search? >> >> https://beta.openai.com/docs/guides/embeddings >> >> for example comparing performance re vector size >> >> https://api.openai.com/v1/engines/text-similarity-ada-001/embeddings >> >> and >> >> https://api.openai.com/v1/engines/text-similarity-davinci-001/embeddings >> >> ? >> >> >> Thanks >> >> Michael >> > > > >
