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Emergence and Evolution Laws of Large Model Complex Systems
Preface
In recent years, the field of deep learning has made great progress, and the deep neural network model represented by large models has become one of the most representative technologies today. These large models have achieved excellent performance in natural language processing, computer vision, speech recognition and other tasks by virtue of their powerful expression ability and high-precision prediction ability. But at the same time, large models also face many challenges, such as difficulty in training, slow running speed, and high consumption of computing resources.
This article will explore the emergence process of large models as a complex system and the evolution laws therein, hoping to inspire enthusiasts in the field of deep learning.