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Customized to user?
The customization in AI models like ChatGPT comes from techniques such as few-shot learning, retrieval-augmented generation, and continuous learning. These methods allow models to adapt to user interactions and incorporate past conversations into new ones. The models use memory mechanisms and context to recall previous chats and apply that information in future interactions. This enables intelligent reuse of past ideas in new conversations.
Key takeaways
- Models use few-shot learning and retrieval-augmented generation for customization.
- Memory mechanisms help models recall past conversations.
- Continuous learning allows models to adapt to user interactions.