Instead of the AI merely scanning the repository in its "memory span," the user can ultimately adjust a smaller, more effective model using the repository itself. This would enable the AI to "internalize" the researcher's personal knowledge base within its parameters, effectively converting an individual research effort into a personalized, confidential intellect.
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