name---->TBD-13(字串長度:6)---->沈文冰(字串長度:9)```hide---->0(字串長度:1)---->0
(字串長度:2)```name2---->(字串長度:0)---->Wenping Shen(字串長度:12)```talk_title---->(字串長度:0)---->Fine-tuning LLMs for Your Enterprise Applications(字串長度:49)```can_playback---->no(字串長度:2)---->yes(字串長度:3)```company---->(字串長度:0)---->TSMC(字串長度:4)```position---->(字串長度:0)---->AI Application & Integration Division, Deputy Director (字串長度:55)```desc---->(字串長度:0)---->As the field of LLM research continues to rapidly evolve, enterprises must constantly "Fine-Tune" their LLMs to leverage the benefits of SOTA models. Here, we explore the practical reasons for fine-tuning LLMs for enterprise applications and share strategies for meeting these challenges head-on.(字串長度:296)```me_desc---->(字串長度:0)---->Over 25 years of experience in enterprise IT and held senior positions in a variety of industries, including semiconductor manufacturing (TSMC), finance and insurance (MetLife), and electrification and automation (ABB).  (字串長度:221)```talkfile_link---->簡報13(字串長度:8)---->X(字串長度:1)```position_for_agenda---->
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