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  <titleInfo>
    <title>Build a Large Language Model</title>
  </titleInfo>
  <name type="personal">
    <namePart>Raschka, Sebastian.</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Sebastian Raschka.</namePart>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="text">New York</placeTerm>
    </place>
    <publisher>: Manning Publication</publisher>
    <dateIssued>, 2025</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>xviii, 343p. : 24cm.</extent>
  </physicalDescription>
  <abstract>Build a Large Language Model (from Scratch) is a one-of-a-kind guide to building your own working LLM. In it, machine learning expert and author Sebastian Raschka reveals how LLMs work under the hood, tearing the lid off the Generative AI black box. The book is filled with practical insights into constructing LLMs, including building a data loading pipeline, assembling their internal building blocks, and finetuning techniques. As you go, you’ll gradually turn your base model into a text classifier tool, and a chatbot that follows your conversational instructions.
</abstract>
  <note type="statement of responsibility">/ Sebastian Raschka.</note>
  <subject>
    <topic>Large Language Model</topic>
  </subject>
  <subject>
    <topic>Language Model</topic>
  </subject>
  <subject>
    <topic>LLMs</topic>
  </subject>
  <classification authority="ddc">006.35 RAS</classification>
  <identifier type="isbn">9781633437166</identifier>
  <identifier type="">: Savera Book Distributors : 4754 Akarshan Bhawan, 23 Ansari Road, Darya Ganj, New Delhi</identifier>
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    <recordCreationDate encoding="marc">261019</recordCreationDate>
    <recordChangeDate encoding="iso8601">20261019155341.0</recordChangeDate>
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