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Categorize Memories: Organize all the memories or stored information into different domains or categories, like Health, Work, Personal Interests, etc.
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Domain Detection: Implement a mechanism to detect the domain of the incoming prompt. This could be done through keyword analysis, natural language processing techniques, or by training a classifier that can categorize prompts based on their content.
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Memory Retrieval Layer: Develop a retrieval system that, upon determining the domain of the prompt, fetches only the relevant memories or information associated with that domain. This could significantly reduce the computational load and increase response efficiency.
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Integration with ChatGPT: You can integrate this system with ChatGPT by sending it not only the user’s prompt but also the relevant contextual memories. This way, ChatGPT has a more focused set of information to work with for each query.
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Feedback Loop: Integrate a feedback mechanism where the system learns from any mismatches or errors in domain detection to refine the categorization and retrieval processes over time.