diff --git a/docs/source/sequences.rst b/docs/source/sequences.rst
index b00e3c896a..93fefad0d0 100644
--- a/docs/source/sequences.rst
+++ b/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::
diff --git a/docs/source/tpu.rst b/docs/source/tpu.rst
index 0a05c1be12..3a74d8bf4f 100644
--- a/docs/source/tpu.rst
+++ b/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