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  1. Dynamic Content: For example, in scenarios involving company policies, standards, and regulations, whenever there are content updates, this method can quickly generate new datasets for fine-tuning.
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  2. Data Scarcity: For some niche or confidential domains, where there is limited data or privacy concerns preventing data from being shared, this method can self-generate datasets for Instruct Tuning, ensuring security and privacy without the fear of data scarcity.
 
 
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  This model, as an example, is focused on psychiatry. We used RAG with documents from the "Desk Reference to the Diagnostic Criteria From DSM-5" to fine-tune Mistral-7B into a psychiatry Q&A model with knowledge of the DSM-5 diagnostic manual.
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  # More Pipeline Detail Please Refer To Citation's Paper
 
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  1. Dynamic Content: For example, in scenarios involving company policies, standards, and regulations, whenever there are content updates, this method can quickly generate new datasets for fine-tuning.
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  2. Data Scarcity: For some niche or confidential domains, where there is limited data or privacy concerns preventing data from being shared, this method can self-generate datasets for Instruct Tuning, ensuring security and privacy without the fear of data scarcity.
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  This model, as an example, is focused on psychiatry. We used RAG with documents from the "Desk Reference to the Diagnostic Criteria From DSM-5" to fine-tune Mistral-7B into a psychiatry Q&A model with knowledge of the DSM-5 diagnostic manual.
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  # More Pipeline Detail Please Refer To Citation's Paper