Prompt example extracted from Microsoft Prompt Engineering Guide.
Belgian Beer Brands Beer name Beer style color ABV Brewery "Chimay Gold: ""Doree""" trappist pale ale gold 4.80% Chimay Brewery (official trappist) "Chimay Blue: ""Grande Reserve""" trappist dark ale dark 9.00% […] Referencing the table above, how many beers are less than 6% ABV? There are 10 beers in the table that are less than 6% ABV. Examples Successful prompts often rely on the practice of "one-shot" or "few-shot" learning. This practice involves including one or more examples of the desired behavior of the model, typically by including input and output pairs. This approach isn't learning in the sense that the model is permanently changed, but rather that the examples better condition the model to respond as desired for only the current inference. The use of prompts with no examples is sometimes referred to as "zero-shot" learning. Note that with the Chat Completion API, you typically add few-shot learning examples to the messages array in the form of example user and assistant interactions after the initial system message.
