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
Red Teaming AI
Adversarial testing of AI models for vulnerabilities
AI Governance
Framework for responsible AI development policies
Diffusion Model
Generative model creating data by iteratively removing noise
Symbolic AI
AI using symbolic logic and explicit knowledge rules
Responsible AI
Framework for developing fair, transparent, accountable AI
Deep Learning
Machine learning using multi-layered neural networks