Artificial Intelligence
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Few-Shot Learning
Quick Definition
Learning to perform tasks from a small number of examples
Full Definition
A ML paradigm where models learn to perform tasks from a small number of examples.
Examples
in-context learning, one-shot classification
Related Terms
in-context-learning
transfer-learning
More Artificial Intelligence Terms
Hallucination
AI generating confident but factually incorrect information
Pruning
Removing redundant neural network connections to reduce size
Diffusion Model
Generative model creating data by iteratively removing noise
Deep Learning
Machine learning using multi-layered neural networks
Knowledge Graph
Structured graph of entities and their relationships
AI Ethics
Study of moral implications in AI development