Back to Glossary
Zero-Shot Learning
NLP & Language Models
Solving new tasks without examples.
Zero-shot learning allows a model to perform unseen tasks using only instructions and general world knowledge.
- Example: Answering domain-specific questions without prior training data.
- Advantages: Flexibility, no data collection required.
- Challenges: Errors from ambiguous prompts or unknown concepts.