diff --git a/README.md b/README.md
index 6a616b7c38..87c39d0b03 100644
--- a/README.md
+++ b/README.md
@@ -150,6 +150,10 @@ class LitAutoEncoder(pl.LightningModule):
     def configure_optimizers(self):
         optimizer = torch.optim.Adam(self.parameters(), lr=1e-3)
         return optimizer
+
+    # def forward(self, x):
+        # in lightning this is optional and mostly used to say
+        # how your LightningModule should work for inference/predictions
 ```
 
 #### Step 2: Train!
diff --git a/docs/source/new-project.rst b/docs/source/new-project.rst
index ef86da30d1..6769152824 100644
--- a/docs/source/new-project.rst
+++ b/docs/source/new-project.rst
@@ -111,6 +111,10 @@ Step 1: Define LightningModule
             optimizer = torch.optim.Adam(self.parameters(), lr=1e-3)
             return optimizer
 
+        # def forward(self, x):
+            # in lightning this is optional and mostly used to say
+            # how your LightningModule should work for inference/predictions
+
 A :class:`~pytorch_lightning.core.LightningModule` defines a *system* such as:
 
 - `Autoencoder <https://github.com/PyTorchLightning/pytorch-lightning-bolts/blob/master/pl_bolts/models/autoencoders/basic_ae/basic_ae_module.py>`_