Timdegreat t1_jan7sel wrote on March 2, 2023 at 5:16 PM

Reply to comment by sebzim4500 in [D] OpenAI introduces ChatGPT and Whisper APIs (ChatGPT API is 1/10th the cost of GPT-3 API) by minimaxir

You can use the embeddings to search through documents. First, create embeddings of your documents. Then create an embedding of your search query. Do a similarity measurement between the document embeddings and the search embedding. Surface the top N documents.

sebzim4500 t1_jan85s7 wrote on March 2, 2023 at 5:18 PM

Yeah, I get that's that embeddings are used for semantic search but would you really want to use a model as big as ChatGPT to compute the embeddings? (Given how cheap and effective Ada is)

Timdegreat t1_jangbi7 wrote on March 2, 2023 at 6:10 PM

You got a point there! I haven't given it too much thought really -- I def need to check out ada.

But wouldn't the ChatGPT embeddings still be better? Given that they're cheap, why not use the better option?

farmingvillein t1_japqcq1 wrote on March 3, 2023 at 3:58 AM

> But wouldn't the ChatGPT embeddings still be better? Given that they're cheap, why not use the better option?

Usually, to get the best embeddings, you need to train them somewhat differently than you do a "normal" LLM. So ChatGPT may not(?) be "best" right now, for that application.