QuestionMay 30, 2025

Foundation models are trained using labeled datasets. True False

Foundation models are trained using labeled datasets. True False
Foundation models are trained using labeled datasets. True False

Solution
4.6(229 votes)

Answer

False Explanation 1. Define Foundation Models Foundation models are typically trained on large-scale datasets that may not be labeled, using self-supervised or unsupervised learning techniques. 2. Determine the Nature of Training Data These models learn from vast amounts of data without explicit labels, focusing on patterns and structures within the data itself.

Explanation

1. Define Foundation Models<br /> Foundation models are typically trained on large-scale datasets that may not be labeled, using self-supervised or unsupervised learning techniques.<br /><br />2. Determine the Nature of Training Data<br /> These models learn from vast amounts of data without explicit labels, focusing on patterns and structures within the data itself.
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