[skim_milk]

I am using GPT-3 with babbage as the base model for the purpose of fixing common transcript errors for a professor's lectures and decorating the text. With about 100 lectures having their transcripts manually corrected and annotated by hand, the cost to train on this data comes out to around $5 per training session. Using the trained model to fix the rest of the 1000 lectures will cost around $300.

[nylonstrung]

Very interesting - what is your workflow for this process