Which class of AI models is designed to handle multiple downstream tasks using a single pretrained architecture?

Foundation Models are a new class of large-scale AI models trained on broad, diverse datasets and built to be adaptable across a wide range of downstream tasks, such as summarization, translation, coding, Q&A, and even visual reasoning.

Convolutional Neural Networks (CNNs)
27.38%
Decision Trees
25.86%
Expert Systems
23.95%
Foundation Models
22.81%

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