[CI SKIP] Sequential data & TPU support docs fix (#3956)

* sequential data docs fix

* TPU support docs fix

Co-authored-by: Iryna Koroliuk <[email protected]>

Author: irene50288

docs/source/sequences.rst

@@ -15,7 +15,7 @@ Packed sequences as inputs
 --------------------------
 When using PackedSequence, do 2 things:
 
-1. return either a padded tensor in dataset or a list of variable length tensors in the dataloader collate_fn (example above shows the list implementation).
+1. Return either a padded tensor in dataset or a list of variable length tensors in the dataloader collate_fn (example shows the list implementation).
 2. Pack the sequence in forward or training and validation steps depending on use case.
 
 .. testcode::

docs/source/tpu.rst

@@ -163,7 +163,7 @@ on how to set up the instance groups and VMs needed to run TPU Pods.
 16 bit precision
 -----------------
 Lightning also supports training in 16-bit precision with TPUs.
-By default, TPU training will use 32-bit precision. To enable 16-bit, also
+By default, TPU training will use 32-bit precision. To enable 16-bit,
 set the 16-bit flag.
 
 .. code-block:: python