So I would want to include a big corpus like GPT-3 or this newfangled "Neo" thing but still have it trained to respond to our own customers based on 200k email passages.
How to create a hybrid?
How to create a hybrid?
If anything, you could build writing assistance that almost automates responses.
I've been co-authoring a library that lets you finetune such models in a single line of code.
https://github.com/backprop-ai/backprop
In specific the text generation finetuning example should be what you are looking for: https://github.com/backprop-ai/backprop/blob/main/examples/F...
Hope this helps, happy to chat more about it. Pretty curious about the results.
You're better off either: 1- Defining common "intents" that a lot of customer queries are categorized into, and having a model map the incoming message to the appropriate canned response. Look at Rasa, for an example of this.
2- if you insist on generating the text, have it be a recommendation to a human agent that either chooses to send it or writes their own response.