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Autor(en): 
  • Anand Nayyar
  • Ajantha Devi Vairamani
  • Kuldeep Kaswan
  • Mastering Prompt Engineering: Deep Insights for Optimizing Large Language Models (LLMs) 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  August 2025  
    Genre:  EDV / Informatik 
     
    Artificial Intelligence / Bias Mitigation in AI / Computational Linguistics / Computer programming / software engineering / COMPUTERS / Artificial Intelligence / Expert Systems / COMPUTERS / Artificial Intelligence / General / COMPUTERS / Software Development & Engineering / General / cross-lingual transfer learning
    ISBN:  9780443339042 
    EAN-Code: 
    9780443339042 
    Verlag:  Elsevier 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 191 mm / D 18 mm 
    Gewicht:  770 gr 
    Seiten:  364 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Mastering Prompt Engineering: Deep Insights for Optimizing Large Language Models (LLMs) is a comprehensive guide that takes readers on a journey through the world of Large Language Models (LLMs) and prompt engineering. Covering foundational concepts, advanced techniques, ethical considerations, and real-world case studies, this book equips both novices and experts to navigate the complex LLM landscape. It provides insights into LLM architecture, training, and prompt engineering methods, while addressing ethical concerns such as bias and privacy. Real-world case studies showcase the practical application of prompt engineering in a wide range of settings. This resource is not just for specialists but is a practical and ethically conscious guide for AI practitioners, students, scientific researchers, and anyone interested in harnessing the potential of LLMs in natural language processing and generation. Mastering Prompt Engineering serves as a gateway to a deeper understanding of LLMs and their responsible and effective utilization through its comprehensive, ethical, and practical approach.

      
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