An AI model must present verse prose in a simple, direct voice. The prose explains the meaning of a text without pointing back to the text itself. It avoids common patterns that make the explanation unclear or preachy.
By Pawan Nayar · from the LLOS AI Learning record
An AI model must present verse prose in a simple, direct voice.
The prose explains the meaning of a text without pointing back to the text itself. It avoids common patterns that make the explanation unclear or preachy.
An AI model should write explanations that stand alone. The explanation should be easy to read and understand. It should not refer to the original text. The AI model must avoid language that judges or tells the reader what to do. The goal is to offer meaning in a plain, helpful way.
A developer asks an AI model to explain a poem. The AI model writes, 'The poem talks about a journey.' This is meta-pointing. Instead, the AI model should write, 'A journey begins.' This explains the meaning directly without referring to the poem.
Resolved from this lesson's own record — real definitions, not invented for this page.
More from the same record, pulled by shared topic — not written new for this page.
A keyword must appear in at least five long content panels. These panels are usually part of different sections.
A specific emotional tone must be defined for each section of content. This tone should be present in at least four different places within that section.
The AI model uses special data called 'essence' and 'feel_snippets'. These are lists of phrases.
Soft instructions like 'apply only when...' are not reliable for an AI model. The AI model often fails to understand these conditions.
An AI model must present verse prose in a simple, direct voice. The prose explains the meaning of a text without pointing back to the text itself. It avoids common patterns that make the explanation unclear or preachy.