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GLOSSARY · F

What Are Foundation Models?

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

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