I want to make my generative tool get better over time based on user feedback. How do you actually implement a feedback loop for an LLM? Do you store the conversations and use them for fine-tuning, or do you adjust the system prompt dynamically based on the interaction? I want a system that learns from user preferences without being annoying or requiring manual tagging of every interaction. Any architectural ideas?
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