AI applications driving enterprise productivity
By Li Jiaying | chinadaily.com.cn | Updated: 2024-11-06 14:46 Victor Tsao, vice-president of open-source solutions provider Red Hat and general manager of Red Hat Greater China, delivers a speech at the 2024 Red Hat Summit in Beijing. "We began applying small language models early on, particularly in production areas like machine vision," said Yang Jian, IT department manager at the company. "Small language models are highly effective in production because they focus on specific applications and scenarios, with low error rates, ensuring quality and process control," he said. The local construction of a modular ecosystem for manufacturing operations with tech company Red Hat has greatly enhanced the system's flexibility and development efficiency, Yang said, adding that transitioning from a monolithic architecture to a microservices architecture has better-supported business needs, significantly improving user experience and work efficiency for production line workers. Red Hat has in this regard leveraged small language models to generate data-driven AI models that are stable, secure, and tailored to meet the specific needs of different enterprises, said Victor Tsao, vice-president of open-source solutions provider Red Hat and general manager of Red Hat Greater China.
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