Use of Simpler Patterns in Few-Shot Learning

A user provides a language model with the following examples to teach it a new task:

Input: Apple -> Output: A Input: Banana -> Output: B Input: Cherry -> Output: C

When the user then provides the new input Input: Grape, the model responds with Output: G. The user was expecting the output to be the full word Grape.

Which of the following best explains why the model produced an unexpected result?

Constructing an Effective Input-Output Pattern

Predicting Model Behavior from a Few-Shot Pattern