Prompt-Craft Techniques for Reliable Output
Explore prompt-crafting methods that improve the reliability of AI-generated outputs. Learn to use worked examples, break tasks into explicit steps, and clearly handle ambiguous cases. This lesson helps you understand how to make prompt contracts stick and ensures consistent model behavior in practical applications.
We'll cover the following...
The previous lesson wrote a contract, a task, a scope, and an escalation trigger, in plain instructions. Plain instructions alone don’t guarantee a model follows them the same way on every input. This lesson covers three techniques that make a contract’s wording actually stick, and shows each one changing what the support-summarizer produces.
In this lesson, we will cover:
Showing the model examples instead of only describing the format
Breaking a complex instruction into an explicit sequence of steps
Naming what to do with input that doesn’t clearly fit
Which technique actually fixes which kind of unreliability ...