Leverage Galileo NLP Studio for natural language inference (NLI), enabling accurate predictions and model performance monitoring.
premise
and hypothesis
, the task is to determine the inference relation between them.
Samples are classified into one of the three labels depending on whether a hypothesis
is true (entailment), false (contradiction), or undetermined (neutral) given a premise
. Here’s an example:
premise
and hypothesis
documents for logging. We recommend joining the document text with a separator such as \<>
to help visualization in the Galileo console.