In modern artificial intelligence literature and Google Cloud architecture, a foundation model is defined as a large-scale AI model trained on broad, massive, unlabeled datasets—frequently spanning multiple modalities (text, code, images, audio, video)—that can be adapted or fine-tuned across a broad spectrum of downstream tasks.
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