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IEEE/ICACT20250223 Slide.04        [Big Slide]	Oral Presentation
	Introduction to Foundation Models Large-Scale Model Pretraining: Training on massive datasets to achieve generalization. Enables models to learn from diverse data sources. The Power of Scale: Larger models tend to perform better due to increased capacity. Example: GPT-4 outperforms smaller predecessors. Self-Supervised Learning: Leverages unlabeled data to pretrain models. Reduces dependency on labeled datasets, which are expensive to create.

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