Basketball

Basketball

The preceding example illustrates the utility of few-shot learning. Without the examples, the model seems to be guessing at the desired behavior, while the examples cleanly show the model how to operate. This example also demonstrates the power of the model. It can infer the category of label that is wanted, even without a "basketball" label in the examples.

Cue

Cues act as the "jumpstart" for the output of the model, helping to direct the model to the desired output. They're often a prefix that the model can build onto. In the following example, the cue directs the story to include key elements. You often use cues along with instructions, but not always. In the following examples, the model is being used to summarize a long announcement email. A cue is used in one case to help focus the output of the model and to suggest a specific output format (bullet points).

In the context of the Chat Completion API, instructions take the form of the system message, and few-shot examples are indicated by providing a series of example user and assistant interactions to help prime the model.