Over the weekend I built a model that could run offline and navigate me around the city of Chicago.
It started with an idea to see if I could get a model to learn turn by turn directions between any points in the city by only training on a subset of the street data.
It turns out it's more practical than expected. With only a 360M parameter model, I was able to train it to navigate around the city with 500,000 examples.
Has anyone tried anything similar? What other models should I try building?
It started with an idea to see if I could get a model to learn turn by turn directions between any points in the city by only training on a subset of the street data.
It turns out it's more practical than expected. With only a 360M parameter model, I was able to train it to navigate around the city with 500,000 examples.
Has anyone tried anything similar? What other models should I try building?