Representation Learning, Autoencoder, Self Supervised Learning, Machine Learning, Artificial Intelligence.
there’s a significant reduction in the volume of data required. You no longer depend on large labeled datasets to achieve robust performance. Secondly, it leads to a noticeable dip in computational costs. The foundation model has already done a bulk of the heavy lifting, and your task-specific