What Does This Mean?
A machine learning model trained on broad data at large scale so that it can be adapted, for example by fine-tuning, to many downstream tasks; large language models and image generators are common examples.
EXPLAINER

Google Cloud Tech · original source ↗
EXPLAINER

ByteMonk · original source ↗
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REAL-WORLD EXAMPLE
""One foundation model now sits behind the chatbot, the image tool and the code assistant.""
LORE & ORIGIN
Wikipedia credits the term to Stanford's Center for Research on Foundation Models in August 2021, chosen because large language model seemed too narrow and pretrained model undersold the model's central role.
MENTIONS OVER TIME
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