This tutorial explains how to install Open WebUI on TWCC VCS and connect it to the ModelSpace public pattern API of AFS (AI Foundry Service). This allows users to test the responses of multiple language models through a browser interface, making it suitable for developers and researchers who need to quickly experience AFS models.
Open WebUI interfaces with AFS ModelSpace in public mode. 閱讀全文 »
In recent years, AI has developed rapidly in the medical field, but high costs and data privacy issues have limited its widespread adoption. DeepSeek, as an open-source large-scale language model, possesses powerful capabilities that can be applied to medical literature analysis, medical record summarization, and more, and supports local deployment, lowering the barrier to AI development and ensuring data security. For Taiwan, DeepSeek provides an opportunity to develop medical AI, promoting the construction of localized medical models and ecosystems. Its open-source model breaks the monopoly of closed AI, promotes the popularization of medical AI, and brings more possibilities for future medical innovation.
Wu Hanzhang: DeepSeek Brings New Opportunities to Medical AI 閱讀全文 »
By automatically starting or stopping VCS via the TWCC CLI, the system can be ensured to run on demand, avoiding unnecessary billing expenses and effectively reducing costs. At the same time, this method improves operational efficiency, reduces the time and manpower costs of manual operations, and ensures more accurate resource management. Through automated scheduling, users can flexibly control the VCS status, ensuring the system starts when needed and shuts down when idle, achieving more efficient use of cloud resources.
How to automatically schedule VCS startup and shutdown to reduce costs? 閱讀全文 »
The 2024 Medicaid Expo focused on AI, highlighting the rise of AI Agents and their revolutionary potential in healthcare. AI Agents can autonomously perform tasks ranging from 24-hour health consultations and medical image analysis to drug development and personalized treatment. They effectively address issues such as uneven distribution of medical resources and diagnostic errors, driving progress in smart healthcare. However, challenges such as data privacy, algorithmic bias, and accountability need to be addressed. In the future, AI Agents will possess stronger multimodal interaction and self-learning capabilities, becoming crucial assistants to healthcare professionals and improving human health and well-being.
Wu Hanzhang: A Wise Partner in the New Era of Healthcare 閱讀全文 »
This guide explains how to change the private IP of a VCS even after deployment is complete, while retaining the external connectivity of its static IP. It covers the steps for creating virtual network interfaces, adjusting OS settings, configuring static IPs, and detaching the original virtual interfaces to optimize network structure and management workflows.
Optimizing VCS Network Management by Replacing Virtual Network Interfaces 閱讀全文 »
In this era of data explosion, predictive analytics has become an indispensable tool across all industries. By uncovering valuable information hidden within historical data, businesses can predict critical issues such as customer churn and equipment failures, and take corresponding countermeasures to significantly improve operational efficiency. However, traditional predictive analytics technologies face numerous challenges, such as: complex model construction processes, extensive experimentation in algorithm selection and model training, excessive data dimensions, diverse data formats and sources, and a shortage of specialized talent. This presents an exciting application prospect for emerging technologies like Predictive GenAI (Predictive Generative Artificial Intelligence).
In this era of data explosion, predictive analytics has become an indispensable tool across all industries. By uncovering valuable information hidden within historical data, businesses can predict critical issues such as customer churn and equipment failures, and take corresponding countermeasures to significantly improve operational efficiency. However, traditional predictive analytics technologies face numerous challenges, such as: complex model construction processes, extensive experimentation in algorithm selection and model training, excessive data dimensions, diverse data formats and sources, and a shortage of specialized talent. This presents an exciting application prospect for emerging technologies like Predictive GenAI (Predictive Generative Artificial Intelligence).
Taiwan will host the World Congress on Medical and Health Information next August, showcasing its globally leading capabilities in medical information and AI applications. This international event will bring together experts from around the world, focusing on innovative AI applications in national health insurance, healthcare, and long-term care, and demonstrating Taiwan's medical information systems, electronic medical records, and telemedicine technologies. Taiwan's healthcare system ranks among the most efficient and high-quality globally; this congress will solidify its leading position, demonstrate its innovative strength in AI within healthcare, and enhance Taiwan's influence in the international medical technology community!
Wu Hanzhang: A World-Class Medical Event in Taiwan 閱讀全文 »
When a Virtual Compute Service (VCS) instance is created, a 100 GB system disk is provided as the default storage space. In practice, storing data on the system disk can lead to management difficulties. Therefore, users typically choose to mount virtual disks as data drives. This article provides a reference for using Rclone to mount Cloud Object Storage (COS) as a storage option.
Mounting COS to a Windows Server VCS Instance via Rclone 閱讀全文 »
If you need to extend the timeout values of your Load Balancer (LB) to accommodate specific service or webpage response times, the following tutorial demonstrates how to quickly adjust the three types of LB timeout values via the API documentation page.
Adjusting Load Balancer Timeout Values via API 閱讀全文 »
Taiwan possesses advantages for developing the smart medical device industry, including world-class ICT capabilities, a well-developed healthcare system and talent pool, and the innovative flexibility of SMEs. Furthermore, the increasing demand from an aging society presents a huge market potential for smart medical devices. However, the smart medical device industry faces the challenge of long investment recovery periods, requiring government support through capital market linkages, such as dedicated funds, tax incentives, industrial parks, and expedited review processes. Simultaneously, reforming the medical insurance system is crucial to expanding market demand for smart medical devices, enhancing international competitiveness, and promoting economic transformation.
Wu Hanzhang: Core Competencies in Smart Medical Devices Lie in Taiwan 閱讀全文 »
Taiwan possesses strong medical resources and technological capabilities, and should actively utilize AI technology to address elderly care issues, particularly mental health and social needs. The combination of generative AI, voice recognition, and robotics can provide 24/7 companionship for the elderly, improving the efficiency and quality of care. With the advent of a super-aged society, Taiwan can occupy a leading position in global elderly care innovation, achieving a win-win situation for both economic benefits and social responsibility.
Wu Hanzhang: Elderly care hides a goldmine of AI 閱讀全文 »
