An AI model's response must match the thinking level and topic of the user's question. Different question types need different kinds of answers.
By Pawan Nayar · from the LLOS AI Learning record
An AI model's response must match the thinking level and topic of the user's question.
Different question types need different kinds of answers.
The AI model must understand the user's question. The AI model then gives an answer that fits the question's thinking level. The answer also covers the exact topic the user asked about. This makes the answer useful and correct for the user.
A student asks the AI model to 'discover' facts about a historical event. The AI model provides a list of key dates and names. If the student asks to 'master' the topic, the AI model would offer ways to evaluate different historical interpretations.
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An AI model can understand and respond to questions that are not common. These questions are often called 'long tail' queries.
The 'Three-Party Contract' means a prompt connects three things. It connects the user's choices in the interface.
An AI model can make tasks harder or easier. This is called auto-adjusting difficulty.
An AI model needs clear and complete instructions. The user must state the desired outcome precisely.
An AI model's response must match the thinking level and topic of the user's question. Different question types need different kinds of answers.