diff --git a/docs/source-pytorch/integrations/strategies/colossalai.rst b/docs/source-pytorch/integrations/strategies/colossalai.rst
index 2165673d9e..9946435070 100644
--- a/docs/source-pytorch/integrations/strategies/colossalai.rst
+++ b/docs/source-pytorch/integrations/strategies/colossalai.rst
@@ -27,7 +27,7 @@ You can install the Colossal-AI integration by running
 
     pip install lightning-colossalai
 
-This will install both the `colossalai <https://colossalai.org/download>`_ package as well as the ``ColossalAIStrategy`` for the Lightning Trainer:
+This will install both the `colossalai <https://colossalai.org/docs/get_started/installation>`_ package as well as the ``ColossalAIStrategy`` for the Lightning Trainer:
 
 .. code-block:: python
 
diff --git a/docs/source-pytorch/past_versions.rst b/docs/source-pytorch/past_versions.rst
index 597e2c19d3..95ef7255af 100644
--- a/docs/source-pytorch/past_versions.rst
+++ b/docs/source-pytorch/past_versions.rst
@@ -110,7 +110,7 @@ To help you with keeping up to spead, check :doc:`Migration guide <upgrade/migra
        `1.2.6 <https://pytorch-lightning.readthedocs.io/en/1.2.6>`_,
        `1.2.7 <https://pytorch-lightning.readthedocs.io/en/1.2.7>`_,
        `1.2.8 <https://pytorch-lightning.readthedocs.io/en/1.2.8>`_,
-       `1.2.9 <https://pytorch-lightning.readthedocs.io/en/1.2.9>`_,
+       1.2.9,
        `1.2.10 <https://pytorch-lightning.readthedocs.io/en/1.2.10>`_
      -
 
diff --git a/src/lightning/pytorch/loggers/wandb.py b/src/lightning/pytorch/loggers/wandb.py
index 9f9738a753..c51ee9e413 100644
--- a/src/lightning/pytorch/loggers/wandb.py
+++ b/src/lightning/pytorch/loggers/wandb.py
@@ -205,7 +205,8 @@ class WandbLogger(Logger):
 
     **Log Tables**
 
-    `W&B Tables <https://docs.wandb.ai/guides/data-vis>`_ can be used to log, query and analyze tabular data.
+    `W&B Tables <https://docs.wandb.ai/guides/tables/visualize-tables>`_ can be used to log,
+    query and analyze tabular data.
 
     They support any type of media (text, image, video, audio, molecule, html, etc) and are great for storing,
     understanding and sharing any form of data, from datasets to model predictions.