An AI model needs clear, specific instructions. Abstract words like 'essence' or 'feel' are not useful. A developer must translate vague ideas into concrete steps for the AI model.
By Pawan Nayar · from the LLOS AI Learning record
An AI model needs clear, specific instructions.
Abstract words like 'essence' or 'feel' are not useful. A developer must translate vague ideas into concrete steps for the AI model.
A developer must ask for specific details. The developer needs to know what 'essence' means in practical terms. The developer needs to know what 'feel' means for an AI model. Break down abstract ideas into observable actions or data points.
A manager asks an AI model to find the 'essence' of a document. The AI model cannot understand 'essence.' A developer must ask the manager: 'What specific words or phrases show the main idea?' The developer then tells the AI model to extract those specific words or phrases. This makes the AI model's task clear.
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An AI model often produces similar outputs if the underlying instructions are not truly different. Using banned words, even in variable names, can bias the AI model.
Markdown files are for human notes and research. A developer uses them to explain ideas or keep records.
An AI model should only give a time estimate if a user directly asks, 'How long will this take?' or a similar question. Do not offer time estimates without being asked.
An AI model does not have a sense of 'today' or 'tomorrow'. It does not work in hours or minutes.
An AI model needs clear, specific instructions. Abstract words like 'essence' or 'feel' are not useful. A developer must translate vague ideas into concrete steps for the AI model.