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CEO DYG | GTM Tech Advisory Services

The LLM behind generative AI requires processing massive amounts of data for training and faster transmission, which has presented lucrative business opportunities for manufacturers. President of ASUS Cloud and Taiwan Web Service Corporation (TWSC) Peter Wu highlighted the distinctions between traditional AI and generative AI by referring to the two as AI 1.0 and 2.0 respectively. Wu pointed out that AI 1.0 involves building specific models through supervised learning and requires project creation and labeling. This process needs to be repeated for different models and can only solve specific problems. On the other hand, the generative AI of AI 2.0 is different. Once the model is built, it can learn autonomously. From an application perspective, generative AI is also smarter and more versatile.

Growing AI computing demands result in major improvements in servers and networking

Growing AI computing demands result in major improvements in servers and networking

digitimes.com

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