Artificial Intelligence
165 views
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
OCR
Technology converting images of text into machine-readable text
Chain-of-Thought
Technique encouraging AI to show step-by-step reasoning
Reward Modeling
Training models to predict human preferences for RLHF
AI Chip
Specialized hardware for accelerating AI computation
Feature Importance
Quantifying each input features contribution to predictions
Transfer Learning
Adapting a pre-trained model for a different related task