A foundation model is a very large machine-learning model that has been pre-trained on broad and diverse datasets. Because the model has already learned general language or vision patterns, customers can quickly adapt it-often with minimal additional data-to many different downstream tasks. By contrast, a task-specific model is trained from scratch on narrow data, rule-based systems rely on deterministic logic rather than learned patterns, and a provisioning service is infrastructure, not a model.
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Fundamentals of Generative AI
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