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Consider using a fine-tuned version of GPT 3.5 Turbo #1

@rdaiello

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@rdaiello

This is definitely more of an enhancement than something for a version 1.0 but the fine tuning process seems affordable and fairly simple. After fine tuning, the same rate applies as using the default 3.5 model.

https://platform.openai.com/docs/guides/fine-tuning/preparing-your-dataset

From the docs:
"For a training file with 100,000 tokens trained over 3 epochs, the expected cost would be ~$2.40 USD."

I would be happy to lend a hand if you're interested in exploring.

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