some words

README.md

@@ -376,7 +376,7 @@ Note that this checkpoint should be [loaded directly with PyTorch](https://pytor
 
 See [`caption.py`](https://github.com/sgrvinod/a-PyTorch-Tutorial-to-Image-Captioning/blob/master/caption.py).
 
-Remember, during inference, we _cannot_ directly use the `forward()` method in the Decoder because it uses Teacher Forcing. Rather, we would actually need to **feed the previously generated word to the LSTM at each timestep**.
+During inference, we _cannot_ directly use the `forward()` method in the Decoder because it uses Teacher Forcing. Rather, we would actually need to **feed the previously generated word to the LSTM at each timestep**.
 
 `caption_image_beam_search()` reads an image, encodes it, and applies the layers in the Decoder in the correct order, while using the previously generated word as the input to the LSTM at each timestep. It also incorporates Beam Search.