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