Update README.md

README.md

@@ -4,13 +4,19 @@ _NOTE: this model card is a WIP_
 
 GPT2-L (774M parameters) fine-tuned on the Wizard of Wikipedia dataset for 40k steps with 34/36 layers frozen using `aitextgen`. This model was then subsequently further fine-tuned on the [Daily Dialogues](http://yanran.li/dailydialog) dataset for an additional 40k steps, this time with **35** of 36 layers frozen.
 
-Designed for use with [ai-msgbot](https://github.com/pszemraj/ai-msgbot) to create an open-ended chatbot (of course, if other use cases arise have at it).
+Designed for use with [ai-msgbot](https://github.com/pszemraj/ai-msgbot) to create an open-ended chatbot (of course, if other use cases arise, have at it).
 
 
 ## conversation data
 
-The dataset was tokenized and fed to the model as a conversation between two speakers, whose names are below. this is relevant for writing prompts and filtering/extracting text from responses.
+The dataset was tokenized and fed to the model as a conversation between two speakers, whose names are below. This is relevant for writing prompts and filtering/extracting text from responses.
 
 `script_speaker_name` = `person alpha`
 
-`script_responder_name` = `person beta`
+`script_responder_name` = `person beta`
+
+
+## examples
+
+- the default inference API examples should work _okay_
+- an ideal test would be explicitly adding `person beta` to the **end** of the prompt text. That way, the model is forced to respond to instead of adding to the entered prompt.