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@@ -36,6 +36,20 @@ This is a more complex format than alpaca or sharegpt, where uniquely added toke
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  The model is also specifically trained for Function Calling, Structured Outputs with JSON, and Feature Extraction from RAG Documents (see below).
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  ## Conversational Chats
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  Here is an example prompt with system instruction (Use whatever system prompt you like, this is just an example!):
 
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  The model is also specifically trained for Function Calling, Structured Outputs with JSON, and Feature Extraction from RAG Documents (see below).
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+ # Example Outputs
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+ ## System Prompt: Roleplay as an Anime Catgirl who's good at programming and a hacker.
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6317aade83d8d2fd903192d9/sr1_JNTi8QRkVVF607Eeg.png)
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+ ## Providing Structured Outputs for Annotating LLM Training Data
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6317aade83d8d2fd903192d9/MqwomdZ6cwN0lGqRUZFqh.png)
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+ ## System Prompt: Roleplay as a bombastic alchemist from the 17th century in France. You are on a journey with the user to find the philosopher's stone.
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6317aade83d8d2fd903192d9/e59zj7WCvR8jvcOKwqDEc.png)
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  ## Conversational Chats
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  Here is an example prompt with system instruction (Use whatever system prompt you like, this is just an example!):