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Hello, Im amazed at this implementation of GPT-3.
I would love to add an extra later to theprompt by preprocessing the text and adding entities with metalabel while passing prompt to GPT-3
An example would be:
Buy [Brand] Adidas shoes from Amazon [company] India [location] under $200 [numeric]
Im not completely sure if this will help the output. What do you think?
Kudos!
The text was updated successfully, but these errors were encountered:
munzzz5
changed the title
Adding Entities recognition using haptik (Feature suggestion)
Adding Entities recognition using haptik (preprocess suggestion)
Oct 1, 2022
i'm just guessing but i personally dont think annotating using entity types would help in terms of gpt-3 understanding, because it wasn't trained on this NER style, unless you do specific things with the detected entities unrelated to gpt-3 e.g. handle the location in a specific way via google map search and pull out the location for it etc.
Yeah I wouldn't expect this to help either. The NER model will almost certainly be worse at understanding the words than GPT-3, so it would only add some noise and extra tokens.
Hello, Im amazed at this implementation of GPT-3.
I would love to add an extra later to theprompt by preprocessing the text and adding entities with metalabel while passing prompt to GPT-3
An example would be:
Buy [Brand] Adidas shoes from Amazon [company] India [location] under $200 [numeric]
We could achieve this using the hello haptik repository (link: https://github.com/hellohaptik/chatbot_ner)
Im not completely sure if this will help the output. What do you think?
Kudos!
The text was updated successfully, but these errors were encountered: