Zero And Few-Shot Prompting
Techniques used in natural language processing (NLP) models to generate desired outputs without explicit training on specific tasks.
Areas of application
- Natural Language Processing
- Artificial Intelligence
- Machine Learning
- Computer Science
- Information Retrieval
- Text Generation
- Language Models
- Few-shot Learning
Example
A language model is trained on a diverse set of texts and can generate coherent and contextually relevant responses to new prompts without requiring additional training on a specific task or domain.