China Telecom Launches the Network Large Model 'Qiming'


China Telecom has established a new AI technology company with a registered capital of 3 billion yuan. The company's business scope includes the development of artificial intelligence theories and algorithms, basic software, application software, and the sale of artificial intelligence hardware. China Telecom holds 100% of the company's shares. In November this year, China Telecom released the trillion-parameter model 'Stellar Semantics', which has shown significant improvements in aspects such as hallucination suppression, extrapolation windows, interactive experience, and multi-turn understanding.
China Telecom has released the trillion-parameter large model, Starry Semantics, which can reduce design costs by 95%. Starry Semantics is a self-developed large model by China Telecom, and its upgrade has led to significant improvements in four areas: hallucination suppression, extrapolation window, interactive experience, and multi-turn understanding. China Telecom has also launched more than ten industry large models covering fields such as education, healthcare, and tourism. Among them is the Starry Education large model, which can assess, comment on, and suggest improvements for a Chinese-English essay in just 15 seconds. Additionally, China Telecom plans to open source hundred-billion-parameter and trillion-parameter large models in the future.
According to TMR Research, the global artificial intelligence chipset market size is expected to exceed $700 billion, with a compound annual growth rate of 31.8% from 2022 to 2031. The article discusses the development trends, application areas, and key players in the artificial intelligence chipset market, which is highly timely and valuable for readers interested in the artificial intelligence chipset market.
IBM's report provides sufficient evidence that artificial intelligence, automation, and threat intelligence can address data breaches throughout the lifecycle, reduce costs, and provide stronger evidence. The research found that integrating artificial intelligence and automation into security operations teams can reduce the lifecycle of data breaches by 33% and costs by 33.6%. However, currently, only 28% of enterprises widely apply artificial intelligence and automation. Many enterprises rely on legacy systems, which are easily bypassed by attackers. The significance of this article lies in emphasizing the effectiveness of artificial intelligence and automation in improving cybersecurity and calling on enterprises to widely adopt these technologies to protect data security.
The robotics research team at Google DeepMind recently released a robotics project called RT-2. This project took 7 months to develop and uses a large model for training. RT-2 has capabilities such as symbol understanding, reasoning, and human recognition, and can think and complete tasks based on human instructions. By combining the large model with the robot's operational capabilities, RT-2 can accomplish tasks that involve logical leaps, such as from 'extinct animals' to 'plastic dinosaurs'. The results of this project performed well in various sub - category tests, with performance up to three times that of the previous generation of robot models. This research result demonstrates the potential of large models in robotics research and is expected to drive the development of robots in the future.