Classifying emails using Llama

• Titel: Classifying emails using Llama
• Mitwirkende: Vankrunkelsven, Vincent [MitwirkendeR]
• Institutionen: Packt Publishing, [Verlag]
• Ausgabe: [First edition].
• Verlagsort: [Birmingham, United Kingdom]
• Verlag: Packt Publishing
• E-Jahr: 2025
• Jahr: [2025]
• Umfang: 1 online resource (1 video file (45 min.))
• Illustrationen: sound, color.
• Fussnoten: Online resource; title from title details screen (O’Reilly, viewed April 9, 2025)
• ISBN: 978-1-80602-429-2
• ISBN: 1-80602-429-2
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Courrier électronique ; Logiciels
• Sach-SW: Intelligence artificielle
• Sach-SW: Traitement automatique des langues naturelles
• Sach-SW: Apprentissage automatique
• 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: 1924459809
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m4718959977
• Lokale URL Inst.: Zum Volltext

Abstract

Build an intelligent email classification assistant using the Llama 3.2 3B-Instruct model. In this hands-on notebook, you'll learn to automatically classify incoming emails, helping users efficiently manage their inboxes. You'll explore email data, load and configure the local Llama model, and perform interactive chat completions to accurately categorize messages. Through practical examples, you'll see how to enhance the model's performance and effectively integrate AI-powered email sorting into your workflow. Gain skills in leveraging local language models to simplify routine tasks, streamline communications, and identify critical emails with precision.