EP17 | 大語言模型AI應用為何遲未爆發? 淺談LLM商業化困局

from 數創實驗室 - AI時代的學習指南 · host Vincent在數創

#### 本期簡介本期節目深入探討大語言模型（LLM）的應用未如預期爆發的原因。從Perplexity與OpenAI的ChatGPT Search競爭切入，分析AI產業中模型層和應用層的分工挑戰，以及標準化接口缺失對應用公司帶來的生存壓力。此外，我們還探討了AI應用公司如何通過私有數據與模型微調建立競爭優勢，給出創業者提出一些建議。想了解AI創業與投資的風險，請收聽本集節目。 #### 關於主持人 Vincent Chen (www.linkedin.com/in/hsiang-hao-chen-53443593) 數創智能 / 數創實驗室創始人, Podcast播客主理人美國財星500強電商大廠 | 數據團隊主管台灣零售行業上市公司 | 資料技術處處長 AI & 大數據跨國經驗10年+ | 跨國反欺詐 | 智能行銷 & 推薦系統英國全球百大 Data Science & 台灣交大MBA雙碩士 #### 相關連結 LINE社群入群連結 : https://bit.ly/3TU9K0I 數創實驗室官網 : https://datainnolab.ai 聯繫數創實驗室 : [email protected]

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EP17 | 大語言模型AI應用為何遲未爆發? 淺談LLM商業化困局

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