Large language model-based solutions

• Verfasst von: Subramanian, Shreyas [VerfasserIn]
• Titel: Large language model-based solutions
• Titelzusatz: how to deliver value with cost-effective generative AI applications
• Mitwirkende: Henning, Daniel [ErzählerIn]
• Verf.angabe: Shreyas Subramanian
• Ausgabe: [First edition].
• Verlagsort: [Place of publication not identified]
• Verlag: Ascent Audio
• E-Jahr: 2024
• Jahr: [2024]
• Umfang: 1 online resource (1 sound file (11 hr., 42 min.))
• Fussnoten: Online resource; title from title details screen (O'Reilly, viewed December 10, 2024)
• ISBN: 978-1-6637-4929-1
• ISBN: 1-6637-4929-9
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Génération automatique de texte
• Sach-SW: Intelligence artificielle ; Logiciels
• Form-SW: Audiobooks
• Form-SW: Livres audio
• K10plus-PPN: 1914058194
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m4648213157
• Lokale URL Inst.: Zum Volltext

Abstract

In Large Language Model-Based Solutions: How to Deliver Value with Cost-Effective Generative AI Applications, Principal Data Scientist at Amazon Web Services, Shreyas Subramanian, delivers a practical guide for developers and data scientists who wish to build and deploy cost-effective large language model (LLM)-based solutions. In the book, you'll find coverage of a wide range of key topics, including how to select a model, pre- and post-processing of data, prompt engineering, and instruction fine-tuning. The author sheds light on techniques for optimizing inference, like model quantization and pruning, as well as different and affordable architectures for typical generative AI (GenAI) applications, including search systems, agent assists, and autonomous agents.