LLM

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

發佈留言 / BLOG / pr@twcloud.ai / 2026-03-04

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 / pr@twcloud.ai / 2026-03-04

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 / pr@twcloud.ai / 2026-03-04

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 »

Open WebUI interfaces with AFS ModelSpace in public mode.

BLOG, Compute / Customer Service Department / 2025-04-10

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 »

Wu Hanzhang: DeepSeek Brings New Opportunities to Medical AI

BLOG, Trend View / Customer Service Department / 2025-03-05

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 »

Taiwan AI Cloud's assistance to Yichen Intelligent in expanding its AI English education market in Asia has garnered recognition from both international and national awards.

Smart Voice / Taiwan AI Cloud / 2024-12-18

Hsu Yung-chang, founder of Easpring Intelligent, stated, "Through Taizhi Cloud's high-CP value cloud services, which offer compliance, cybersecurity, and 24/7 customer service, our operating costs have been reduced by half compared to using other cloud providers. Taizhi Cloud's hardware response time is 30% higher, and it boasts comprehensive GPU computing power and AI functions. The software is highly flexible, with available APIs, and the user interface and operation methods are easy to learn and use. In addition, Taizhi Cloud's AI supercomputing accelerator provides AI startups with comprehensive business development resources and technical support, from which Easpring has also gained AI 2.0 computing resources and new business opportunities both domestically and internationally."

Taiwan AI Cloud's assistance to Yichen Intelligent in expanding its AI English education market in Asia has garnered recognition from both international and national awards. 閱讀全文 »

Generative AI empowers Predictive GenAI, enabling businesses to gain new insights and predict the future, and revitalize data to enhance business intelligence decision-making!

BLOG, Trend View / Taiwan AI Cloud / 2024-03-28

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).

Generative AI empowers Predictive GenAI, enabling businesses to gain new insights and predict the future, and revitalize data to enhance business intelligence decision-making! 閱讀全文 »