LLMs in production

• Titel: LLMs in production
• Titelzusatz: from language models to successful products
• Mitwirkende: Brousseau, Christopher [VerfasserIn]
• Mitwirkende: Sharp, Matthew [VerfasserIn]
• Institutionen: Manning Publications, [Verlag]
• Verf.angabe: Christopher Brousseau and Matthew Sharp ; foreword by Joe Reis
• Ausgabe: [First edition].
• Verlagsort: [Shelter Island, New York]
• Verlag: Manning Publications
• E-Jahr: 2025
• Jahr: [2025]
• Umfang: 1 online resource (1 video file (14 hr., 26 min.))
• Illustrationen: sound, color.
• Fussnoten: "In video editions the narrator reads the book while the content, figures, code listings, diagrams, and text appear on the screen. Like an audiobook that you can also watch as a video.". - Online resource; title from title details screen (O’Reilly, viewed March 3, 2025)
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Intelligence artificielle
• Sach-SW: Traduction automatique
• Sach-SW: Traitement automatique des langues naturelles
• Sach-SW: artificial intelligence
• Form-SW: Instructional films
• Form-SW: Nonfiction films
• Form-SW: Internet videos
• Form-SW: Films de formation
• Form-SW: Films autres que de fiction
• Form-SW: Vidéos sur Internet
• K10plus-PPN: 1921172037
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m4696557804
• Lokale URL Inst.: Zum Volltext

Abstract

LLMs in Production teaches you how to develop an LLMOps plan that can take an AI app smoothly from design to delivery. You’ll learn techniques for preparing an LLM dataset, cost-efficient training hacks like LORA and RLHF, and industry benchmarks for model evaluation. Along the way, you’ll put your new skills to use in three exciting example projects: creating and training a custom LLM, building a VSCode AI coding extension, and deploying a small model to a Raspberry Pi.