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滴普科技(01384.HK)創始人趙杰輝:通用AI模型難解企業痛點 以「本體大模型」驅動訂閱制轉型
企業級大模型AI應用第一股、企業級Token生產力平台公司滴普科技(01384.HK)創始人、執行董事、董事會主席兼首席執行官趙杰輝今日(14日)在內地媒體發表人工智能產業觀察文章。他指出,破解企業AI落地難題的核心之一在於「本體大模型」,該技術不僅補足通用模型缺乏的專屬業務邏輯,更可將過去高成本的「人手定製」AI專案轉化為標準化產品,直接驅動商業模式向「訂...
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滴普科技(01384.HK)創始人趙杰輝:通用AI模型難解企業痛點 以「本體大模型」驅動訂閱制轉型
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企業級大模型AI應用第一股、企業級Token生產力平台公司滴普科技(01384.HK)  -5.650 (-8.679%)   創始人、執行董事、董事會主席兼首席執行官趙杰輝今日(14日)在內地媒體發表人工智能產業觀察文章。他指出,破解企業AI落地難題的核心之一在於「本體大模型」,該技術不僅補足通用模型缺乏的專屬業務邏輯,更可將過去高成本的「人手定製」AI專案轉化為標準化產品,直接驅動商業模式向「訂閱制」躍遷,為AI企業從「概念展示」走向「創造實效」提供清晰路徑。

趙杰輝指出,市面上的通用模型擅長語義理解,但缺乏企業內部的真實業務邏輯。以製造業為例,兩家不同車廠若出現相同的機器警報,背後原因可能完全不同。這些專屬的「排雷」經驗與規則,並不存在於公開的網上資料或常規操作手冊中,導致一般通用模型在面對企業深度業務時往往束手無策。企業真正需要的,是具備深度業務規劃能力的專屬AI員工。

為突破此瓶頸,滴普科技推出專為企業度身訂造的Deepexi本體大模型,該模型建基於滴普過去八年間,服務近400家大型客戶所累積的龐大數據集。這包含了108個深度涵蓋製造、消費零售、醫療、金融及政務等關鍵行業的「業務本體」。這些核心營運數據從未在公開語料出現,成功為滴普科技築起純模型開發商難以複製的技術與數據護城河。

在商業變現上,本體大模型為滴普科技帶來了工程經濟學的躍遷。趙杰輝在文中表示,過去企業AI應用往往依賴前線駐紮工程師(FDE)在客戶現場進行手工實例化與定製(如美國巨頭Palantir獲市場驗證的深度工程服務模式)。而滴普科技透過本體大模型,成功將這些繁重的工作提煉並「模型化」,大幅降低了單一客戶的定製成本,成為中國市場該路徑的產品化先驅。

Deepexi企業大模型透過「能力訓練-行業本體預訓練-客戶本體注入」的三層訓練架構,前兩層作為固定成本由大規模客戶群體攤薄,使單一客戶的定製化成本隨規模效應顯著下降。這推動了滴普科技從傳統諮詢項目制,成功轉型至「Token消耗+AI員工工時訂閱制」,商業模式擺脫對定製化的依賴並隨規模線性擴張,盈利週期大幅縮短。

趙杰輝總結指出,通用模型壓低了成本端的Token單價,而Deepexi本體大模型則透過提高Token的業務價值密度,真正為企業AI應用帶來實質的經濟效益。滴普科技作為純B2B定位的企業級大模型AI應用、企業級Token生產力平台公司,正藉此獨特定位與訂閱制模式,實現規模化變現,推動經營質量持續向好。(ad/da)(HK stocks quote is delayed for at least 15 mins.)

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