DEFINITION
A foundation model is a large AI model that has been trained on general data. A foundation model can be tailored to carry out a variety of tasks. It can perform text, image, audio, video or a combination of these functions. Foundation models are not limited to a specific use case but provide a foundational core from which they can be used. This can be done for content creation, summarization, Q&A, image analysis, and AI assistants. The models can be tailored using prompting, fine tuning, retrieval-augmented generation, and others.
Why are foundation models important?
- Can be used for multiple tasks
- Efficient to develop
- Can be tailored for specific tasks
- Some are multimodal
- Provide a foundation for innovation in the AI space (Enterprise assistants, copilots, agents)
Where can foundation models be used?
- Conversational assistants/copilots
- Document creation/summarization
- Image analysis/reports
- Code generation tools
- Fine-tuning or RAG for specific domains
See it running on your own hardware
Vanik Edge OS runs AI models, agents and apps inside your building, so your data stays there.
