If you want to create an AI that will be better at _teaching_ and not just answering questions, you may want to talk to a human teacher about their process.
"Pedagogy" is the term for professional teaching; "pedagogical methods" would be a good term to use in searches, or in querying AI, about processes like this.
The current LLMs can show their work, if you don't understand it, ask to have it explained it in a different way -- idk how you can improve on that experience.
Output should be a various ways to solve a problem right?
Im ignorant about mathematic domain in AI, but if there arent the ones that trained specifically tuned for mathematic domain then you should fine tune the open model.
Also, if you are not asking for exact answer, gpt or claude can still give you an insight how to solve it.
Having thought that if chegg couldnt build one same as your idea, then it would not be easy cause they have tons of data already
If you want to create an AI that will be better at _teaching_ and not just answering questions, you may want to talk to a human teacher about their process.
"Pedagogy" is the term for professional teaching; "pedagogical methods" would be a good term to use in searches, or in querying AI, about processes like this.
The current LLMs can show their work, if you don't understand it, ask to have it explained it in a different way -- idk how you can improve on that experience.
Output should be a various ways to solve a problem right?
Im ignorant about mathematic domain in AI, but if there arent the ones that trained specifically tuned for mathematic domain then you should fine tune the open model.
Also, if you are not asking for exact answer, gpt or claude can still give you an insight how to solve it.
Having thought that if chegg couldnt build one same as your idea, then it would not be easy cause they have tons of data already