rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Mastering prompt engineering
    sub title: deep insights for optimizing large language models (LLMs)
  name:
    name part: Nayyar, Anand
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Vairamani, Ajantha Devi
    role:
      role term: author.
  name:
    name part: Kaswan, Kuldeep Singh
    role:
      role term: author.
  name:
    name part: ScienceDirect (Online service)
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: mau
    date issued: 2025
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource
  note: Anand Nayyar, Ajantha Devi Vairamani, Kuldeep Singh Kaswan.
  note: Includes bibliographical references and index.
  subject:
    topic: Artificial intelligence
  subject:
    topic: Natural language generation (Computer science)
  subject:
    topic: Intelligence artificielle
  subject:
    topic: Génération automatique de texte
  subject:
    topic: artificial intelligence
  subject:
    topic: Artificial intelligence
  subject:
    topic: Natural language generation (Computer science)
  classification: Q335 .N39 2025
  classification: 006.3
  identifier: 9780443339059
  identifier: 0443339058
  identifier: 9780443339042
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: YDX
    record creation date: 250717
    record change date: 20260327191420.2
    record identifier: in00005775788
    language of cataloging:
      language term: eng