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  <titleInfo>
    <title>Programming large language models with Azure Open AI</title>
    <subTitle>conversational programming and prompt engineering with LLMs</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Esposito, Francesco</namePart>
    <role>
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  <originInfo>
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      <placeTerm type="text">United States</placeTerm>
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    <publisher>Microsoft Press</publisher>
    <dateIssued>2024</dateIssued>
    <issuance>monographic</issuance>
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    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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    <extent>xvi, 240 p.</extent>
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  <abstract>Autonomously communicate with users and optimize business tasks with applications built to make the interaction between humans and computers smooth and natural. Artificial Intelligence expert Francesco Esposito illustrates several scenarios for which a LLM is effective: crafting sophisticated business solutions, shortening the gap between humans and software-equipped machines, and building powerful reasoning engines. Insight into prompting and conversational programmingwith specific techniques for patterns and frameworksunlock how natural language can also lead to a new, advanced approach to coding. Concrete end-to-end demonstrations (featuring Python and ASP.NET Core) showcase versatile patterns of interaction between existing processes, APIs, data, and human input. -- Provided by publisher</abstract>
  <note type="statement of responsibility">Francesco Esposito</note>
  <note>Index present</note>
  <note>Eng</note>
  <subject>
    <topic>Artificial intelligence</topic>
  </subject>
  <subject>
    <topic>Machine learning</topic>
  </subject>
  <subject>
    <topic>Azure Open AI service</topic>
  </subject>
  <subject>
    <topic>Computer programming</topic>
  </subject>
  <classification authority="ddc">006.31 ESP-P</classification>
  <identifier type="isbn">9780138280376</identifier>
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    <recordCreationDate encoding="marc">260605</recordCreationDate>
    <recordChangeDate encoding="iso8601">20260610154652.0</recordChangeDate>
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