16 家金控合作，要打造懂台灣金融的 AI 大語言模型

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Under the guidance of the FSC and convened by CTBC Financial Holding, 16 iconic financial holdings and banks in Taiwan have jointly launched the "FinLLM" project, building a localized financial AI based on the sovereign AI corpus from the MODA. (Previous coverage: The Taiwan government is actively deploying "Sovereign AI"; NSTC Minister Wu Cheng-wen: Organizing a National Artificial Intelligence Strategy Special Committee) (Background: 11 leading insurance companies in Taiwan launch the "Claims Alliance Blockchain"! Single-point filing for multi-company claims makes the process easier) 6 financial holdings, 2 state-owned banks, along with the TABF, III, and the NCCU FinTech Center, are working together to achieve one goal: Taiwan must have its own financial large language model. This project, named FinLLM, was initiated by the FinTech industry alliance under the guidance of the FSC, with CTBC Financial Holding serving as the convener. It was officially launched today (23rd) at FinTechSpace. From "Individual R&D" to "Collective Collaboration" In the past, every financial holding company wanting to develop AI had to collect its own corpus, train its own models, and conduct its own evaluations. With high computing costs, fragmented data licensing, and individual legal compliance risks, the result was that everyone achieved mediocre outcomes—burning through significant funds while having very few practical application scenarios. The structure is different this time. The 16 participating institutions include CTBC Financial Holding, Cathay Financial Holding, Fubon Financial Holding, Taishin Financial Holding, SinoPac Financial Holding, Taiwan Cooperative Financial Holding, Mega Financial Holding, First Financial Holding, Hua Nan Financial Holding, KGI Financial Holding, Chang Hwa Bank, Bank of Taiwan, Land Bank of Taiwan, Taiwan Business Bank, Chunghwa Post, and Next Bank, bringing almost all major players in Taiwan's financial industry into the same project. Coupled with research and technical units such as the TABF, III, the NCCU FinTech Center, and Asia Pacific Intelligent Machines, FinLLM intends to streamline the entire process from data licensing, model training, and evaluation to business model operations. More importantly, the legal risks of data licensing can be shared, which is often more thorny for the financial industry than computing costs. The Foundation is the MODA's Sovereign AI Corpus FinLLM is not a model trained from scratch. Its foundation is the sovereign AI corpus currently being built by the MODA. Sovereign AI corpus. Translated, it means a state-led initiative to collect local Taiwanese languages, regulations, and archival data to serve as the training foundation for local AI models. This project has been included as one of the action plans for the national AI "New Ten Major Constructions," holding a significant status. The role of the financial alliance is to take this general foundation and further feed it with finance-specific corpus: FSC regulations, corporate governance codes, bank operational manuals, financial product prospectuses, and risk disclosure documents. No matter how powerful US-based large models are, they may not be able to fully answer questions within the context of Taiwan's financial supervision. For example, if you ask GPT about a provision of Taiwan's Financial Consumer Protection Act, it might provide a general explanation, but when it encounters concepts unique to Taiwan's supervision, such as "offshore structured products" or "suitability review for elderly clients," the accuracy of its response may drop. The alliance conducts training using legally authorized data, while simultaneously establishing standardized evaluation benchmarks through joint deliberation by the member banks.

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ID：cda7d9b83b

來源：動區 BlockTempo

發佈：2026-04-23 08:04:27

分類：zh_news · 導出分類 zh

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