Foundation model
Temel model
D2
In generative AI, a foundation model is trained on broad data using self-supervised learning and can be adapted for multiple application tasks.
Review status: 2026-11-26
Technical explanation
After pre-training, a developer can adapt a foundation model for a specific use case through further fine-tuning.
Conceptual boundaries
A foundation model is not necessarily an LLM, because foundation-model pre-training and adaptation also occur for image, audio, and multimodal models.
Provider-neutral example
A team can start with a broadly trained model and adapt it to classify internal document types for a defined workflow.
Limitations
This definition sets no parameter-count threshold and does not say that every model in the listed modality categories is a foundation model.
Related concepts
Atomic claims and evidence
1.1NIST AI 100-2e2025, Adversarial Machine Learning: A Taxonomy and Terminology of Attacks and Mitigations
- Source
- NIST AI 100-2e2025, Adversarial Machine Learning: A Taxonomy and Terminology of Attacks and Mitigations
- Source role
- Authoritative source
- Exact locator
- Appendix A p. 108: foundation model
- Supported claim
- In generative AI, a foundation model is trained on broad data using self-supervised learning and can be adapted, such as through fine-tuning, for a variety of application tasks.
- Last verification
- Review due
- Scope limitation
- This is NIST’s glossary definition and does not set a parameter-count threshold.
2.1NIST AI 100-2e2025, Adversarial Machine Learning: A Taxonomy and Terminology of Attacks and Mitigations
- Source
- NIST AI 100-2e2025, Adversarial Machine Learning: A Taxonomy and Terminology of Attacks and Mitigations
- Source role
- Authoritative source
- Exact locator
- Section 3.1.1 p. 37: training stage for generative image, text, audio, and multimodal models
- Supported claim
- Foundation-model training patterns occur for generative image, text, audio, and multimodal models.
- Last verification
- Review due
- Scope limitation
- The claim identifies listed model categories and does not say that every model in each category is a foundation model.