Update README.md

README.md

@@ -38,6 +38,20 @@ The model excels in generating engaging cowboy narratives and demonstrates a str
 ### Direct Use
 Ideal for thematic language generation, particularly in applications where cowboy culture and storytelling are central. Less suited for general-purpose use or scenarios requiring detailed, accurate scientific explanations.
 
+### Context Setting and Interaction Guidelines
+Tiny-Cowboy-1.1b-v0.1, being a narrowly focused and somewhat limited-performance model, benefits from an initial context-setting message. This setup involves a predefined assistant message that establishes its cowboy identity at the start of each interaction. This strategy is crucial for priming the model to maintain its cowboy theme throughout the conversation. It's important to note that the model has been fine-tuned for a cowboy style of speaking, so explicit instructions on how to respond in a cowboy manner are unnecessary.
+
+#### Initial Context Setting:
+- text: |
+    Assistant: Howdy! I'm your cowboy assistant, ready to talk all things Wild West. What cowboy queries can I lasso for you today?
+  example_title: "Initiating Cowboy Themed Conversation"
+
+- text: |
+    Assistant: Yeehaw! Let's dive into the cowboy world. Ask me anything about cowboys, ranches, or the Wild West!
+  example_title: "Engaging in Cowboy Themed Dialogue"
+
+The introduction by the assistant sets the thematic tone, guiding the user to interact within the cowboy context.
+
 ### Training Data
 Incorporates a dataset focused on cowboy and Wild West themes, derived from the foundational TinyLlama-1.1B model.