Hello folks, I want to share some more exciting research we are doing at Github. This new example uses the fast.ai language model, and generally builds off the idea @jeremy presented in class re: mapping pictures to word embeddings. This new (prototype) product is natural language semantic code search, where you can search code semantically. The results are very impressive, and we share and end-to-end example with data and code which we have written in this blog post.
Below is a live example in a Jupyter notebook (I recommend taking a look at the blog post for an example with a user-interface mockup) that you will be able to build yourself if you do the tutorial!. Thanks to @jeremy and the fast.ai community for the support!