Hallucination

Definition

Few-shot learning aims at reducing the amount of labeled data required for training by leveraging prior knowledge obtained from similar tasks; this approach is particularly useful when acquiring large datasets is impractical or costly.

When Hallucination is used

Siamese networks

Which positions need this?

Machine Learning Engineers

Problem

Scarcity of labeled examples hampers effective model training.

Example of how Hallucination is used in AI

An image recognition system trained on only a few pictures of new objects successfully categorizes them correctly after being shown just one example each during testing phase.