Zero-shot vs Few-shot Learning: Key Insights with 2022 Updates

Author(s): Anil Tilbe

Originally published on Towards AI.

These are the present-day definitions and insights about zero-shot and few-short learning setups.

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If you want a machine to learn from data, you need to provide enough data to enable the machine to learn from. If you don’t have enough data, the machine will have to find other ways to learn from data.

Zero-shot learning is when a machine is taught how to learn from data without ever needing to access the data itself. Few-shot learning is when a machine is taught how to use data to learn from a specific point of view.

Both zero-shot and few-shot learning can… Read the full blog for free on Medium.

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Published via Towards AI