Definition
Pre-trained models are machine learning models that have already been trained on a large dataset for a particular task. They can then be fine-tuned for more specific applications.
Why it matters (in Poovi’s context)
Discussed as a foundational element in AI development, leading to new job roles and applications, particularly in specialised domains.
Key properties or components
- Large datasets
- Fine-tuning
- Transfer learning
- Foundation models
Contradictions or debates
None.