An AI model must understand that a user's question can hide deeper feelings. The user's words may not directly state the true problem. The AI model needs to find the real need behind the question.
By Pawan Nayar · from the LLOS AI Learning record
An AI model must understand that a user's question can hide deeper feelings.
The user's words may not directly state the true problem. The AI model needs to find the real need behind the question.
A user's question might seem simple. But the user can have many hidden feelings. The AI model must look for these deeper feelings. The AI model should consider what the user might truly be asking for. This helps the AI model give a more helpful answer.
A user asks, 'How do I meet my neighbors?' The AI model could just list ways to meet people. But the AI model understands the user might feel lonely. The user might want a sense of belonging. The AI model then offers ideas for building community, not just meeting people.
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A user's questions can show more than just a need for facts. The questions can show feelings like fear, regret, or hope.
A developer can identify common user feelings. These feelings include self-doubt or physical stress.
An AI model can name a specific, confusing, and common internal conflict. This helps the user feel understood.
A user's question often hides a bigger problem. The AI model should not just answer the surface question.
An AI model must understand that a user's question can hide deeper feelings. The user's words may not directly state the true problem. The AI model needs to find the real need behind the question.