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From understanding language to thinking: Deconstructing the three major milestones in the evolution of AI models

發佈留言 / BLOG, Trend View / /

The evolution of AI can be broken down into three milestones: LLM, which excels at pure text translation; MLLM, which possesses visual perception capabilities; and Reasoning Model, which can deconstruct complex logic and self-correct. The latest technology is not necessarily the best solution. Enterprises should precisely allocate their resources according to the "nature of the task," moving from "understanding language" to "being able to think," in order to truly enable AI transformation to take root and flourish.

From understanding language to thinking: Deconstructing the three major milestones in the evolution of AI models 閱讀全文 »

Transforming LLM from "Broad Knowledge" to "Specialized Expertise": A Practical Guide to AI Transformation on the Enterprise Map

發佈留言 / BLOG, Trend View / /

Taiwan AI Cloud transforms general-purpose LLM models into "sovereign AI" with professional productivity through a rigorous "fine-tuning pipeline." The article likens fine-tuning to specialist training: first, CPs supplement domain knowledge; then, SFTs teach task behaviors; and finally, CoT thinking chains ensure transparent and auditable decision-making. This engineering philosophy emphasizes that "good models are managed," and only by mastering standardized processes can enterprises achieve a balance between technology, security, and efficiency, building truly robust and trustworthy digital assets.

Transforming LLM from "Broad Knowledge" to "Specialized Expertise": A Practical Guide to AI Transformation on the Enterprise Map 閱讀全文 »

From "Sovereign AI" to "AI City": Building a New Paradigm for Digital Governance by 2026

發佈留言 / Trend View, BLOG / /

2026 marks the beginning of Taiwan AI Cloud's "Computing Power Connection Governance" era. As enterprises shift from model training to inference applications and agentic AI, Taiwan AI Cloud is building a digital ecosystem through a "3+1 strategy," translating sovereign AI into a practical force for solving urban pain points. Building on its return to profitability in 2025, Taiwan AI Cloud has initiated its IPO and plans to list on the Emerging Stock Market in May. Its goal is to achieve over 50% overseas revenue by 2028, exporting Taiwan's AI governance experience to Vietnam, Japan, and the Middle East markets.

From "Sovereign AI" to "AI City": Building a New Paradigm for Digital Governance by 2026 閱讀全文 »

Peter Wu : Why AI and Trust Must Evolve Together

發佈留言 / Trend View, BLOG / /

Artificial intelligence (AI) is reshaping the world order at an astonishing pace. From medical diagnostics and urban transportation to fintech and industrial digital transformation, AI is gradually becoming the "productivity engine" of the new generation. However, as people pursue efficiency and intelligence, a more critical question is becoming increasingly prominent—when we entrust decision-making to AI, can we still "trust" it?

Peter Wu : Why AI and Trust Must Evolve Together 閱讀全文 »

From Supercomputers to AI Agents: Taiwan Smart Cloud Discusses Taiwan's Experience in Developing Local Models

BLOG, Trend View / /

While global open-source models are powerful, they generally face the challenge that most Chinese materials come from simplified Chinese, resulting in deficiencies in understanding traditional Chinese, social context, and local sensitivity.

From Supercomputers to AI Agents: Taiwan Smart Cloud Discusses Taiwan's Experience in Developing Local Models 閱讀全文 »

Peter Wu: New Opportunities in AI Healthcare as Seen from Computex Taipei

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Computex Taipei unveiled a new chapter in the application of AI in healthcare, with major Taiwanese tech companies building smart hospitals using AI factories and digital twin technologies, and combining sovereign AI to safeguard medical data security. Leveraging its manufacturing strength and medical data advantages, Taiwan is rising to become a global hub for medical AI innovation, leading the way to a healthier future.

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Wu Hanzhang: NVIDIA AI Summit: Seeing the Future of Healthcare

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NVIDIA showcased several medical AI innovations at its technology conference, driving the intelligentization of healthcare. The BioNeMo platform helps accelerate drug development and clinical trials, while the Evo 2 biological model can predict genetic mutations, facilitating personalized medicine. NVIDIA also collaborated with GE HealthCare and Hyperfine to integrate AI into X-rays, ultrasound, and portable MRI, improving diagnostic efficiency and accessibility. In the surgical field, the Isaac platform supports Virtual Incision and Moon Surgical in developing AI-assisted surgical robots, enhancing surgical precision and responsiveness. Experts called for greater attention to AI ethics and patient privacy.

Wu Hanzhang: NVIDIA AI Summit: Seeing the Future of Healthcare 閱讀全文 »

Wu Hanzhang: DeepSeek Brings New Opportunities to Medical AI

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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.

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Wu Hanzhang: A Wise Partner in the New Era of Healthcare

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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 »

Taiwan's AI Startup Map 2024

2024 Taiwan AI Startup Map Released: Practical Applications and AI Agents are Key Focuses (Part Two)

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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).

2024 Taiwan AI Startup Map Released: Practical Applications and AI Agents are Key Focuses (Part Two) 閱讀全文 »

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