Update README.md

README.md

@@ -37,7 +37,7 @@ The model is evaluated based on several metrics, including loss, reward, penalty
 - Average loss: 1.7
 
 ## Limitations and Bias
-Because I have a rather weak computer for machine learning, I was not able to train this model for too long. The model may output irrelevant answers, or sometimes the responses can be nonsensical. The Interface API is not a recommended place to test the model because this model requires an input format. This model was not fine-tuned to remember history from the chat, so it cannot be asked follow-up questions (if anyone wants to fine-tune it so that it does remember the chat history, be my guest). A GPU with at least 4 gigabytes of VRAM is recommended for optimal speeds to generate a response. I also don't recommend loading the model automatically from the transformers library because it does not work as intended. Instead you should use the model like this (download the model manually):
+This model is not suitable for all use cases due to its limited training time on a weak computer. As a result, it may produce irrelevant or nonsensical responses. Additionally, it has not been fine-tuned to remember the chat history, is unable to provide follow-up responses, and it does not know the answer to many questions (it was only fine-tuned to respond in a conversational way). For optimal performance, we recommend using a GPU with at least 4GB of VRAM and downloading the model manually instead of using the Transformers library. Here's how you should deploy the model:
 
 ```python
 import torch