docs: fix dead links for Trainer (#18331)

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
 

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>`_
      -
 

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.