00923nam a22002057a 450000500170000000800410001702000180005804000130007608200170008910000160010624501270012226000450024930000150029450000180030952003150032754600080064265000220065065000250067265000200069720260616103048.0260616s2026    |||||||| |||| 00| 0 eng d  a9781098160845  cPK-LaUMT  a005.8bLIN-P1 aLin, Baihan10aPrivacy and security for large language models :bhands-on privacy-preserving techniques for personalized AI /cBaihan Lin  aSanta Rosa :bO'Reilly Media Inc.,c2026  axx, 293 p.  aIndex present  aAs the deployment of AI technologies surges, the need to safeguard privacy and security in the use of large language models (LLMs) is more crucial than ever.Professionals face the challenge of leveraging the immense power of LLMs for personalized applications while ensuring stringent data privacy and security  aEng  aComputer security  aAI-security measures  aData protection