Foundation model

In artificial intelligence, a foundation model (FM), also known as large x model (LxM, where "x" is a variable representing any text, image, sound, etc.), is a machine learning or deep learning model trained on vast datasets so that it can be applied across a wide range of use cases. Generative AI applications like large language models (LLM) are common examples of foundation models.

Foundation model - Wikipedia Jump to content From Wikipedia, the free encyclopedia Artificial intelligence model paradigm In artificial intelligence , a foundation model ( FM ), also known as large x model ( LxM , where "x" is a variable representing any text, image, sound, etc.), is a machine learning or deep learning model trained on vast datasets so that it can be applied across a wide range of use cases. [ 1 ] Generative AI applications like large language models (LLM) are common examples of foundation models. [ 1 ] Building foundation models is often highly resource-intensive, with the mo

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• On the Opportunities and Risks of Foundation Modelsarxiv.org
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