let’s say by concatenating your textbooks you get plenty of examples of f=m⋅a with “blablabla object sky blablabla gravity a=9.8m/s2 blablabla m=12kg blabla f=12∗9.8=120N. And then the exercise is: “blablabla object of mass blablabla thrown from the sky, what’s the force? a) f=120 b) … c) … d) …”. then what you need to do is just do some prompt programming at the beginning by “for looping answer” and teaching it to return either a,b,c or d. Now, I don’t see any reason why a neural net couldn’t approximate linear functions of two variables. It just needs to map words like “derivative of speed”, “acceleration”, “d2z/dt2” to the same concept and then look at it with attention & multiply two digits.
let’s say by concatenating your textbooks you get plenty of examples of f=m⋅a with “blablabla object sky blablabla gravity a=9.8m/s2 blablabla m=12kg blabla f=12∗9.8=120N. And then the exercise is: “blablabla object of mass blablabla thrown from the sky, what’s the force? a) f=120 b) … c) … d) …”. then what you need to do is just do some prompt programming at the beginning by “for looping answer” and teaching it to return either a,b,c or d. Now, I don’t see any reason why a neural net couldn’t approximate linear functions of two variables. It just needs to map words like “derivative of speed”, “acceleration”, “d2z/dt2” to the same concept and then look at it with attention & multiply two digits.
Generally the answers aren’t multiple choice. Here’s a couple examples of questions from a 5th grade science textbook I found on Google:
How would you state your address in space. Explain your answer.
Would you weigh the same on the sun as you do on Earth. Explain your answer.
Why is it so difficult to design a real-scale model of the solar system?
If it’s about explaining your answer with 5th grade gibberish then GPT-4 is THE solution for you! ;)