A simple teleprompter that adds labeled examples from the training set as demonstrations to the module. This is the simplest form of few-shot learning.
Usage
LabeledFewShot(
metric = NULL,
metric_threshold = NULL,
max_errors = 5L,
k = 4L,
sample = TRUE,
seed = 123L
)Arguments
- metric
A metric function for evaluating predictions. If NULL, uses exact_match() by default.
- metric_threshold
Minimum score required to be considered successful. If NULL, uses the metric's default threshold.
- max_errors
Maximum number of errors allowed during optimization. Default is 5.
- k
Number of examples to include in few-shot prompts. Default is 4.
- sample
Whether to randomly sample examples. Default is TRUE.
- seed
Random seed for reproducibility. Default is 123.