According to a report by The Wall Street Journal, the AI field is undergoing a major transformation with far-reaching implications. Over the past five years, the AI field has primarily focused on the training of large language models, a process that is costly, requiring tens of thousands of chips and a significant amount of energy, and is conducted in remote large-scale data centers. During training, clusters composed of thousands of specialized microprocessor chips are used to input billions of pieces of information, such as word definitions and historical facts, into the model. The chip clusters need to operate around the clock for weeks or even months.
