name---->1(字串長度:1)---->沈文冰(字串長度:9)```hide---->0(字串長度:1)---->0
(字串長度:2)```name2---->1330-1400(字串長度:9)---->Wenping Shen(字串長度:12)```talk_title---->吳振和(字串長度:9)---->Fine-tuning LLMs for Your Enterprise Applications(字串長度:49)```talk_lang---->27(字串長度:2)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->yes(字串長度:3)```company---->3(字串長度:1)---->TSMC(字串長度:4)```position----><b>吳振和  技術副總 (cacaFly)</b>(字串長度:40)---->AI Application & Integration Division, Deputy Director (字串長度:55)```company2----><b>吳振和  技術副總 (cacaFly)</b>(字串長度:40)---->(字串長度:0)```position2---->吳振和(字串長度:9)---->(字串長度:0)```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---->13___1___1330-1400___3___<b>吳振和  技術副總 (cacaFly)</b>___吳振和___27(字串長度:82)---->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---->(字串長度:0)---->X(字串長度:1)```conf---->13(字串長度:2)---->AI(字串長度:2)