What is the main idea behind 'Few-Shot Learning'?

Quiz Options

• Training AI models on massive datasets
• Enabling AI models to learn effectively from only a very small number of examples
• Using AI for large-scale data storage
• Developing AI for complex physical tasks

Explanation & Context

Few-shot learning is an area of machine learning that focuses on developing models capable of generalizing to new tasks or data points using only one or a few training examples.