Basically I’ve been trying to wrap my head around how it could be possible to make an AI similar to Neuro-Sama, which is a Vtuber (Vtuber part isn’t important) that seems to be able to discern and reply to some twitch messages with a type of ‘personality’.
and was wondering if anyone else had been thinking of the same thing or interested in the topic.
So far I’ve only thought of using an AI language model such as BERT or GPT-2, since they are free, but i couldn’t really find a way to fine tune these AI’s off of my data, since most training methods I have seen are not text generative, but rather just for text classification.
I’ve got a little bit of test data in a .csv that has a context and a response column, as well as the sentiment column (label) for negative, neutral, and positive values.
- of course I don’t fully understand what I’m doing and I don’t know if I even need the sentiment column for what I’m trying to do.
Anyway my current idea is that context includes the twitch chat message data, and the response would be how I would like the AI to respond to such messages.
If anyone knows any way i can try going about this, or if you want to get more information, it would be much appreciated- I understand that the task will be a complex one, so if it seems out of reach please don’t hesitate to speak an objective truth.