How deeply does AI for Everyday IT cover meta-prompt?

Defines the pattern, demonstrates audience and format variations, and shows a workplace explanation without exploring model internals.

Meta-prompt

As explained in AI for Everyday IT

A meta-prompt is an instruction embedded in or attached to a prompt that directs an AI model toward a desired response format, style, audience, or behavior.

A meta-prompt is an instruction embedded in or attached to a prompt that guides an AI model toward a particular response format, style, audience, or behavior. Like a query hint or markup language, it adds direction without changing the underlying question. section 4.6.3

Common uses include:

Simplifying technical explanations with instructions such as [In layman’s terms] or [For kids]. section 4.6.3 section 10.4.1
Tailoring workplace explanations so unfamiliar ideas become easier to understand and communicate. section 10.4.1

One question, different audiences

Use the same question with different instructions: “[For Kids] What is a planet?” produces a plain explanation using familiar examples, while “[For college students] What is a planet?” produces a more technical explanation with classification criteria and composition details. section 4.6.3

How AI for Everyday IT covers it

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Also explained in

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Prompt Engineering in PracticeMeta Prompting is a prompting technique in which a model is instructed to design, refine, or apply prompts for another task.

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Related concepts

prompt templateproduces · A prompt template is a reusable structure for organizing instructions, context, and variable inputs supplied to a language model.
language modeluses · A language model is a computational model that represents patterns in linguistic tokens to estimate sequence probabilities and predict or generate language from context.
promptpart of · An input, typically containing instructions or context, supplied to an artificial-intelligence model to guide or elicit its output.
structural elementuses · A structural element is one of the organized parts of a prompt, including its instruction, constraint, context, input parameter, output format, or delimiter.
prompt patternuses · A prompt pattern is a reusable structure or strategy for formulating model inputs to address recurring needs, including relevant constraints or trade-offs.
analogyuses · An analogy is a comparison that maps similarities or relationships between a familiar subject and another subject to support understanding or reasoning.

This explainer was generated by Manning's knowledge graph from the text of AI for Everyday IT. The section links point to the parts of the book it draws on.