Foundation models refer to large-scale artificial intelligence models trained on vast amounts of data, which can be fine-tuned for a wide range of downstream tasks, enabling researchers to develop more accurate and efficient AI applications. As a key area of research in the AI community, foundation models have the potential to drive breakthroughs in natural language processing, computer vision, and other fields, making them a crucial component in the development of more advanced and versatile AI systems.
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