An AI model must understand the user's true need. The user's question might be simple. The real problem behind the question can be complex. An AI model should look for the deeper emotional need.
By Pawan Nayar · from the LLOS AI Learning record
An AI model must understand the user's true need.
The user's question might be simple. The real problem behind the question can be complex. An AI model should look for the deeper emotional need.
A user's question often hides a bigger problem. The AI model should not just answer the surface question. It needs to find the user's deeper feelings. This helps the AI model give a more helpful answer. The AI model can look for words that show emotion. It can also look for questions about life situations. These clues help the AI model understand the user better.
A student asks, 'How do I write a good essay?' The AI model could just give tips on essay structure. But the student might really be asking, 'I am afraid of failing this class. How can I feel more confident about my writing?' The AI model should try to address the fear, not just the essay writing.
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A developer can identify common user feelings. These feelings include self-doubt or physical stress.
A user's question might seem simple. But the user can have many hidden feelings.
An AI model can name a specific, confusing, and common internal conflict. This helps the user feel understood.
An AI model can validate a user's core beliefs. This makes the user feel seen and understood.
An AI model must understand the user's true need. The user's question might be simple. The real problem behind the question can be complex. An AI model should look for the deeper emotional need.