Just some suggestions
Access to a Learning Log: Providing users with a learning log where they can track and edit interactions could help you see and manage the context and details we discuss. This could be useful for tracking progress or updating information.
Editable Memory: Allowing users to directly edit or update memory could make interactions more personalized and adaptable. This would involve having controls for users to modify or delete specific pieces of information.
Custom Training: Enabling users to train the model with specific information by pasting text could help tailor responses to specific needs. This would require a mechanism to securely and effectively integrate new knowledge.
Better Understanding of Prompts: Enhancing the model’s ability to interpret and understand different types of prompts could improve response accuracy and relevance. This involves ongoing improvements in natural language processing.
Basic Emotional Understanding: Developing a better understanding of emotions could enhance interactions, allowing the model to respond more empathetically and appropriately to emotional cues. This is an area of ongoing research in AI development.