Local AI Glossary
What is Zero-shot learning?
Source: local-llm.net/glossary
The ability of a model to perform a task it was not specifically trained for, based solely on its general training and the instructions in the prompt. For example, asking a general-purpose model to classify sentiment without providing any examples. Zero-shot capability improves with model size and alignment quality. --- *This glossary is a living reference. For in-depth guides on the topics covered here, see [What Is Local AI?](/learn/what-is-local-ai) for a comprehensive introduction, [Understanding Quantization](/learn/quantization-explained) for detailed quantization coverage, and the [Hardware Requirements Guide](/learn/hardware-requirements) for hardware terminology in context.*
How Zero-shot learning fits in the local AI stack
Zero-shot learning is part of the broader local AI ecosystem. See the related guides, comparisons, and tools below to see how it applies in practice.
See also
- Full Local AI Glossary
- All learn topics
- What is Local AI?
- Quantization explained
- Hardware requirements
- How to choose a local LLM