N-Shot Learning
Definition
N-shot learning focuses on minimizing the amount of labeled training data needed for effective learning by leveraging prior knowledge from similar tasks or domains, making it valuable for applications where data is scarce.
When N-Shot Learning is used
Few-shot learning techniques
Which positions need this?
Machine Learning Engineers
Problem
Insufficient labeled data for training comprehensive models.
Example of how N-Shot Learning is used in AI
An AI system learns to recognize new objects after being shown only a few examples, enabling quick adaptation to new tasks.
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