Train (fine-tune) a model with text from books or articles

Hi Christoph, This would probably work better with embedding. But it will mean that you have to keep the text locally and have a way of storing embedding vectors

The examples on the cookbook explain how to do it it with an Amazon Review database. It is not that easy to follow though.

Once you find the text you need (with the help of an OpenAI call to get a vector for your search term), you can then ask GPT to answer your query with a relevant prompt and the text you found. Let me know if you go that way and cant follow the OpenAI cookbook example. I’m making a video on it and haven’t recorded it yet. I’ll push it to the top of the pile if you need it (might be a day or two though)

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