An AI model must find information directly from text. The AI model does not guess or create summaries without specific text. If the text is not available, the AI model notes its absence.
By Pawan Nayar · from the LLOS AI Learning record
An AI model must find information directly from text.
The AI model does not guess or create summaries without specific text. If the text is not available, the AI model notes its absence.
An AI model must always get information from existing text. The AI model does not try to guess answers. The AI model does not make general summaries from many sources. The AI model looks for exact words or phrases. If the text is found, the AI model uses it. If the text is not found, the AI model records that it is missing.
A developer asks an AI model to find the main ideas of a long report. The AI model reads the report and pulls out direct sentences. The AI model does not create new sentences to summarize. If a section is missing, the AI model tells the developer that the information is not there.
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.
Hardcoded fallback content can make the AI model seem unintelligent. It can show text that does not fit the specific question.
It is better to publish a blog post that has missing sections. Incorrect information can confuse readers.
An AI model should not generate content JSON. Content JSON is a specific type of data.
When a user asks to read multiple files, the user means a literal read of every byte in every file. The AI model must use its Read tool for each file.
An AI model must find information directly from text. The AI model does not guess or create summaries without specific text. If the text is not available, the AI model notes its absence.