<?xml version="1.0" encoding="UTF-8"?>
<record
    xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
    xsi:schemaLocation="http://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd"
    xmlns="http://www.loc.gov/MARC21/slim">

  <leader>01356nam a2200337 i 4500</leader>
  <controlfield tag="003">MY-KuUP</controlfield>
  <controlfield tag="005">20260629094245.0</controlfield>
  <controlfield tag="006">a||||fo|||| 001 0 </controlfield>
  <controlfield tag="007">cr a||||||||||</controlfield>
  <controlfield tag="008">260402t20252025mau||||fo|||| 001 0 eng d</controlfield>
  <datafield tag="020" ind1=" " ind2=" ">
    <subfield code="a">9780443339042</subfield>
    <subfield code="q">ebook</subfield>
  </datafield>
  <datafield tag="040" ind1=" " ind2=" ">
    <subfield code="b">eng</subfield>
    <subfield code="c">UMPSA</subfield>
    <subfield code="e">rda</subfield>
  </datafield>
  <datafield tag="090" ind1=" " ind2=" ">
    <subfield code="a">Q335 .N39 2025</subfield>
  </datafield>
  <datafield tag="100" ind1="1" ind2=" ">
    <subfield code="a">Nayyar, Anand,</subfield>
    <subfield code="e">author.</subfield>
  </datafield>
  <datafield tag="245" ind1="1" ind2=" ">
    <subfield code="a">Mastering prompt engineering :</subfield>
    <subfield code="b">deep insights for optimizing large language models (LLMs) /</subfield>
    <subfield code="c">Anand Nayyar, Ajantha Devi Vairamani, Kuldeep Kaswan</subfield>
  </datafield>
  <datafield tag="264" ind1=" " ind2="1">
    <subfield code="a">Cambridge, MA :</subfield>
    <subfield code="b">Morgan Kaufmann,</subfield>
    <subfield code="c">2025</subfield>
  </datafield>
  <datafield tag="264" ind1=" " ind2="4">
    <subfield code="c">&#xA9;2025</subfield>
  </datafield>
  <datafield tag="300" ind1=" " ind2=" ">
    <subfield code="a">1 online resource</subfield>
  </datafield>
  <datafield tag="336" ind1=" " ind2=" ">
    <subfield code="2">rdacontent</subfield>
    <subfield code="a">text</subfield>
  </datafield>
  <datafield tag="337" ind1=" " ind2=" ">
    <subfield code="2">rdamedia</subfield>
    <subfield code="a">computer</subfield>
  </datafield>
  <datafield tag="338" ind1=" " ind2=" ">
    <subfield code="2">rdacarrier</subfield>
    <subfield code="a">online resource</subfield>
  </datafield>
  <datafield tag="347" ind1=" " ind2=" ">
    <subfield code="2">rda</subfield>
    <subfield code="a">Science Direct</subfield>
    <subfield code="b">PDF</subfield>
  </datafield>
  <datafield tag="504" ind1=" " ind2=" ">
    <subfield code="a">Includes bibliographical references and index</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2="0">
    <subfield code="a">Artificial intelligence</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2="0">
    <subfield code="a">Natural language generation (Computer science)</subfield>
  </datafield>
  <datafield tag="700" ind1="1" ind2=" ">
    <subfield code="a">Vairamani, Ajantha Devi,</subfield>
    <subfield code="e">author.</subfield>
  </datafield>
  <datafield tag="700" ind1="1" ind2=" ">
    <subfield code="a">Kaswan, Kuldeep,</subfield>
    <subfield code="e">author.</subfield>
  </datafield>
  <datafield tag="856" ind1=" " ind2=" ">
    <subfield code="u">https://www-sciencedirect-com.libraryumpsa.idm.oclc.org/book/monograph/9780443339042/mastering-prompt-engineering</subfield>
    <subfield code="z">Off-Campus link</subfield>
  </datafield>
  <datafield tag="856" ind1=" " ind2=" ">
    <subfield code="u">https://www.sciencedirect.com/book/monograph/9780443339042/mastering-prompt-engineering</subfield>
    <subfield code="z">Click here to access (Direct Link)</subfield>
  </datafield>
  <datafield tag="942" ind1=" " ind2=" ">
    <subfield code="2">lcc</subfield>
    <subfield code="c">EBOOK</subfield>
  </datafield>
  <datafield tag="952" ind1=" " ind2=" ">
    <subfield code="0">0</subfield>
    <subfield code="1">0</subfield>
    <subfield code="2">lcc</subfield>
    <subfield code="4">0</subfield>
    <subfield code="7">0</subfield>
    <subfield code="8">NFIC</subfield>
    <subfield code="a">20000</subfield>
    <subfield code="b">20000</subfield>
    <subfield code="d">2026-04-02</subfield>
    <subfield code="g">1019.00</subfield>
    <subfield code="l">0</subfield>
    <subfield code="o">Q335 .N39 2025</subfield>
    <subfield code="p">E000005277</subfield>
    <subfield code="r">2026-04-02 12:16:54</subfield>
    <subfield code="t">1</subfield>
    <subfield code="v">1019.00</subfield>
    <subfield code="w">2026-04-02</subfield>
    <subfield code="y">EBOOK</subfield>
  </datafield>
  <datafield tag="999" ind1=" " ind2=" ">
    <subfield code="c">104539</subfield>
    <subfield code="d">104545</subfield>
  </datafield>
</record>
