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Ability to choose what model to use for data synthesizer

Open rozeappletree opened this issue 2 years ago • 4 comments

Instead of simply allowing data_synthesis=True while finetuning, we can do something like:

data_synthesis = True      // uses gpt-4 model
data_synthesis = 'gpt-4'      // uses gpt-4 model
data_synthesis = 'gpt-3.5-turbo;      // uses chatgpt model
data_synthesis = 'random'      // uses models in random

rozeappletree avatar Aug 25 '23 00:08 rozeappletree

Needed this because my API key did not have access to gpt4 and there wasn't any direct way for changing data synthesis model

rozeappletree avatar Aug 25 '23 01:08 rozeappletree

Before we can fix this we need to:

  1. make sure the model can do data synthesis, and set it up
  2. document which models are good at what with respect to data synthesis.
  3. Figure out how to measure these things!

mmirman avatar Aug 28 '23 18:08 mmirman

Hi, can I please work on this issue? Thank you!

lucylililiwang avatar Feb 16 '24 17:02 lucylililiwang

https://github.com/lucylililiwang/LLM-VM/blob/lucylililiwang-choose_model/choose_model.py

lucylililiwang avatar Feb 22 '24 17:02 lucylililiwang