Even if they did release the likely-very-big model, your personal computer is likely not fast enough to make 2-3 actions per second (x5) and update weights in real time without a beefy GPU.
Once that is finished, you have a trained model which you can use by providing input and getting an output (with the weights frozen).
The training phase is very expensive computationally because you have to calculate the gradient of your loss function on potentially huge tensors.
The execution phase is not that expensive and commercial laptops will be likely able to run the model without any problems.
Just wanted to double check - can someone else verify this before I spend weeks seeing if I can get it to work?
A 1024 unit LSTM only takes up a few megabytes of memory, and the multiplications at runtime are O(N^2) and not O(N^2 M), because you don't have a minibatch of updates to run.