AI companies train their models on huge amounts of data. Some of thisdata is copyrighted. There is an ongoing debate on what this means for IP. Somebelieve that using existing works to train LLMs counts as fair use. If the workan LLM outputs is very different to the works it trained on, how is thisdifferent from a human writer?
The other point of view sees a clear copyright violation. The LLM wouldnot be able to output anything without training on the source works.
Another position is there is a case for compensating owners of content.Although there might be no clear copyright violation, LLMs owe a debt to thematerial they trained on.
The debate will likely rage for some years.
Tutello does not train AI models with your content. Instead, we prepareyour content to work well with prompt engineering techniques. Prompting is nottraining. We send small sections of content (usually a sentence or two) alongwith student questions to the open ai api. This technique can give amazingresults. Open ai commit that they do not use data submitted to this API fortraining:
OpenAI will not use datasubmitted by customers via our API to train or improve our models, unless youexplicitly decide to share your data with us for this purpose.
UsingTutello you can give your students all the advantages of LLMs without losingcontrol of your IP.
Using Tutello you can give your students all the advantages of LLMswithout losing control of your IP. Only the students you choose will haveaccess to the content you add to Tutello.
You can track which parts of your content is being used for prompting.This gives you the benefit of homing in on areas of content that might bedifficult for students.
You can remove content from our system whenever you choose.
