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Transforming AI from "Memorizing Questions" to "Solving Problems": Insights from Anti-Money Laundering (AML) Practice on Fine-Tuning

發佈留言 / BLOG / /

Through an Anti-Money Laundering (AML) case study, this article demonstrates how Taiwan AI Cloud has evolved AI from rote memorization of answers into experts with logical reasoning abilities. The article documents the process from LoRA validation and model distillation to optimization using the CoT (Copy of Thought) and GRPO relative reward modeling, emphasizing that a good model is not formed through a single training iteration, but rather relies on a rigorous pipeline for continuous "management" and evolution. This engineering philosophy proves that only by establishing visible and automated processes can AI be transformed into stable and reliable digital assets in demanding regulatory environments.

Transforming AI from "Memorizing Questions" to "Solving Problems": Insights from Anti-Money Laundering (AML) Practice on Fine-Tuning 閱讀全文 »

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

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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

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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 »

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