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  ## Intended Use
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  This model is designed for:
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- Converting natural language inputs into RASA-compatible commands
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- Understanding user intents in conversational AI applications
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- Generating structured outputs for chatbot development
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  ## Limitations
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- The model's performance is optimized for the RASA framework and may not generalize well to other command generation tasks
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- Limited to the scope of intents and entities present in the CALM dataset
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- Inherits any limitations present in the base Qwen2.5-Coder model
 
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  ## Intended Use
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  This model is designed for:
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+ 1. Converting natural language inputs into RASA-compatible commands
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+ 2. Understanding user intents in conversational AI applications
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+ 3. Generating structured outputs for chatbot development
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  ## Limitations
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+ 1. The model's performance is optimized for the RASA framework and may not generalize well to other command generation tasks
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+ 2. Limited to the scope of intents and entities present in the CALM dataset
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+ 3. Inherits any limitations present in the base Qwen2.5-Coder model