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Template

As explained in LLMs in Production

A reusable prompt structure containing instructions and variable content for directing a language model.

A prompt template combines a user’s question with instructions that guide the model. It can also include context—such as retrieved information, chat history, or examples—to help the model respond appropriately. section 7.2.1

A company-policy Q&A prompt

A basic template might pair “Q: How much does the company match for our 401k? A:” with policy information retrieved through semantic search. An added instruction could ask the model to explain the answer as if the user were five years old. section 7.2.1

How LLMs in Production covers it

How deep it goes
Explains instructions, context, and examples with a Q&A illustration, but does not provide implementation details.
Examples
Uses a company 401k question, retrieved policy information, and an instruction to explain the answer simply.
What you can do after
Build a prompt by combining a question with instructions and relevant context.
How it connects
Connects prompt templates to retrieval-augmented generation, semantic search, and few-shot or one-shot prompting.

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This explainer was generated by Manning's knowledge graph from the text of LLMs in Production. The section links point to the parts of the book it draws on.