Asked about Examples, and when they earn their cost
What is a risk of few-shot prompting?
An answer that works
The model imitates the examples closely, including any inconsistency or mistake in them, and it can over-fit to their surface pattern. It can also bias the output distribution if all your examples share a property you did not intend to teach.
Reading an answer is not being able to give one. The section that teaches this is Examples, and when they earn their cost, 3 hours of Prompting.
Learn this properlyAlso asked about Prompting
A prompt works most of the time but occasionally returns the wrong format. What do you do?How do you stop a model inventing data during extraction?Does telling a model it is an expert improve results?When would you use few-shot rather than zero-shot?How many examples should you use?Does chain-of-thought prompting still help?How do you know a prompt change actually improved things?When would you split one prompt into several calls?