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  <titleInfo>
    <title>Large language models</title>
  </titleInfo>
  <name type="personal">
    <namePart>Raaijmakers, Stephan</namePart>
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    <dateIssued encoding="marc">2023</dateIssued>
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    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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    <extent>292 páginas ; 18 centímetros.</extent>
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  <abstract>In November 2022, ChatGPT swept the globe with a mixed frenzy of excitement and anxiety. Was this a step closer to reaching singularity or just another marvel in machine learning? Author Stephan Raaijmakers provides a comprehensive introduction to Large Language Models (LLMs), describing what exactly they are capable of from a technical and creative standpoint. This concise volume covers everything from the architecture of LLM neural networks to the limitations of LLMs to how our governments can regulate this technology. In explaining how exactly LLMs learn from data sets, Raaijmakers defangs the more sensational arguments we may be familiar with. Instead, he offers a more grounded approach to how this groundbreaking—and increasingly ubiquitous—form of artificial intelligence will shape our society for years to come.</abstract>
  <note type="statement of responsibility">Stephan Raaijmakers.</note>
  <subject authority="lcsh">
    <topic>Procesamiento del lenguaje natural</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Inteligencia artificial</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Aprendizaje automático</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Modelos de lenguaje</topic>
  </subject>
  <subject authority="lcsh">
    <topic>ChatGPT (Programa de computadora)</topic>
  </subject>
  <classification authority="ddc" edition="23">006.33 R111</classification>
  <identifier type="isbn">978026252691</identifier>
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