fix broken link

docs/tut_multi_rank_worker.rst

@@ -1,4 +1,4 @@
-.. _tut_propulator:
+.. _tut_multi_rank_worker:
 
 Using Propulate with Multi-Rank Workers
 =======================================
@@ -8,7 +8,7 @@ Using Propulate with Multi-Rank Workers
    https://github.com/Helmholtz-AI-Energy/propulate/blob/master/tutorials/multi_rank_workers_example.py
 
 In addition to the already explained functionality, ``Propulate`` enables using multi-rank workers for an internally
-parallelized evaluation of the loss function. This is useful, e.g., for data-parallel training of neural networks,
-where each individual network is trained on multiple GPUs.
+parallelized evaluation of the loss function. This is useful for, e.g., data-parallel training of neural networks during
+the hyperparameter optimization, where each individual network is trained on multiple GPUs.
 
-A more detailed explanation of the tutorial will be available soon.
+A more detailed explanation of the tutorial will be available soon |:rocket:|.