Machine learning can now do some extraordinary things: it can understand the world, drive cars, write code, make art.
But, it's still extremely hard to use. Research is typically published as a PDF, with scraps of code on GitHub and weights on Google Drive (if you’re lucky!). Unless you're an expert, it's impossible to take that work and apply it to a real-world problem.
We’re making machine learning accessible to everyone. People creating machine learning models should be able to share them in a way that other people can use, and people who want to use machine learning should be able to do so without getting a PhD.
With great power also comes great responsibility. We believe that with better tools and safeguards, we'll make this powerful technology safer and easier to understand.