Foundation models are large-scale AI systems trained on vast datasets to perform a wide range of tasks. These models, like GPT and BERT, serve as a base, fine-tuned for specific applications such as language translation, content generation, or image recognition. Built using billions of parameters, they excel in generalization and adaptability across domains. Their core lies in self-supervised learning, enabling them to learn patterns without labeled data. Foundation models are reshaping industries by offering scalable, versatile, and efficient solutions, marking a new era in AI development.