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@@ -48,7 +48,7 @@ The model converts investigative questions into executable SQL queries across a
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  forensic artifact databases — WhatsApp, Signal, iMessage, Android SMS, iOS Health, WeChat,
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  Instagram, blockchain wallets, and many more.
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- This model was developed as part of a master's thesis and accompanying journal paper
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  investigating LLM fine-tuning for forensic database analysis, and is integrated into
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  [FQLite](https://github.com/pawlaszczyk/fqlite), an established open-source forensic
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  analysis tool.
 
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  forensic artifact databases — WhatsApp, Signal, iMessage, Android SMS, iOS Health, WeChat,
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  Instagram, blockchain wallets, and many more.
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+ This model was developed as part of a research project and accompanying journal paper
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  investigating LLM fine-tuning for forensic database analysis, and is integrated into
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  [FQLite](https://github.com/pawlaszczyk/fqlite), an established open-source forensic
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  analysis tool.