N-Shot Learning is a machine learning (ML) paradigm in which a model is trained to generalize from a few samples (N) for a specific task. It aims to enable a model to learn from a limited amount of data, often employing transfer learning or meta-learning techniques.
N-Shot Learning
SHARE
Related Links
A CMO recently asked me a deceptively simple question: “If we gave an AI agent full…
I once watched a campaign manager juggle ten tools, fifteen stakeholders, and a spreadsheet that looked…