Allowing users to register to your app using another service (e.g. Facebook, Spotify, Google) requires OAuth. That’s what I use authlib for, anyways. It simplifies the OAuth process so much that I don’t have to think about the authentication process when designing an app.
In my experience the accuracy is at least a bit better than whisper-small on their enhanced models. But we've just started using it so haven't had time to do many direct comparisons with whisper. Their word-timestamps are _much_ better, which is important if you want to be able to edit the audio based on the transcription.
As for speed I have no idea how they make it so fast, but I'm sure they've written about it somewhere. My guess is at least that they are slicing the audio and parallelising it. Will look into Conformer-1 as well!
It was an enjoyable and enlightening read. Now I’m thinking how I can rewrite my tile-based path-finding RL project to utilize more Tensors and less for loops.
Well done! I’m looking forward to reading how you concurrently ran 100 million mini snake games.
Really cool. That's how this project got started. I was doing the exact thing you were doing (tile-based RL path finding). But it was soooo slow, so I started implementing it in tensors, and that's when I realized I could do a whole game of Snake.
I found a short discussion[2] you may find useful.
[1]: https://www.etched.com/
[2]: https://www.lesswrong.com/posts/qhpB9NjcCHjdNDsMG/new-fast-t...