How does an AI tell a cat from a shark, or a healthy cell from a cancerous one?
It doesn't "think." It performs geometric origami.
Each layer in a neural network takes messy, tangled data and makes one simple fold and measurement.
Deep learning is a long, intricate series of these folds, with each layer untangling the problem a little more for the next, until the answer becomes simple.
Our new interactive Algebra lessons let you move fluidly back and forth between expressions and their visual representations – giving shape to abstract concepts.
With each equation you construct, you get instant visual feedback. See what’s missing or adjust ill-fitting pieces, until everything clicks into place.
See math in a whole new way.
Coming this October!
Been having trouble getting @cursor_ai's project rules to trigger reliably at the right times. The models just don't seem to think to read them very often – anyone have tips on getting the models to actually pull them in?
@nopranablem@_StevenFan@_brentbaum@danshipper yeah y'all, holler if you find any interesting directions; right now it's a middling search engine but I think could be improved with some tweaks.
@flowtype What's the current state of the art for Vim/Flow integration? ALE seems to be using the check-contents feature (which returns odd results) and vim-flow is on the wane. Is there a current best integration?