This Machine Learning Survey Paper from China Illuminates the Path to Resource-Efficient Large Foundation Models: A Deep Dive into the Balancing Act of Performance and Sustainability

Developing foundation models like Large Language Models (LLMs), Vision Transformers (ViTs), and multimodal models marks a significant milestone. These models, known for their versatility and adaptability, are reshaping the approach towards AI applications. However, the growth of these models is accompanied by a considerable increase in resource demands, making their development and deployment a resource-intensive […]

The post This Machine Learning Survey Paper from China Illuminates the Path to Resource-Efficient Large Foundation Models: A Deep Dive into the Balancing Act …

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