CalcGPT.io
calcgpt.io
A silly calculator unnecessarily powered by GPT
  • @jacksilver
    1•2 months ago

    I’m curious what approaches you’re thinking about. When last looking into the matter I found some research in Neural Turing Machines, but they’re so obscure I hadn’t ever heard of them and assume they’re not widely used.

    While you could build a model to answer math questions for a set input space, these approaches break down once you expand beyond the input space.

    • Rain World: Slugcat Game
      0•2 months ago

      neural network, takes two numbers as input, outputs sum. no hidden layers or activation function.

      • @jacksilver
        1•2 months ago

        Yeah, but since Neural networks are really function approximators, the farther you move away from the training input space, the higher the error rate will get. For multiplication it gets worse because layers are generally additive, so you’d need layers = largest input value to work.

          • @jacksilver
            1•2 months ago

            Is that a thing? Looking it up I really only see a couple one off papers on mixing deep learning and finite state machines. Do you have examples or references to what you’re talking about, or is it just a concept?