August 2025
Intermediate to advanced
198 pages
5h 20m
German
Content preview from Language Models kompakt
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Kapitel 4 Transformer
Transformer-Modelle haben NLP (Natural Language Processing) erheblich vorangebracht. Sie überwinden die Einschränkungen von RNNs beim Umgang mit weitreichenden Abhängigkeiten und ermöglichen die parallele Verarbeitung von Eingabesequenzen. Es gibt drei Hauptversionen von Transformer-Architekturen: Encoder-Decoder (ursprünglich formuliert für die maschinelle Übersetzung), nur Encoder (typischerweise für die Klassifizierung verwendet) und nur Decoder (häufig in Chat-LMs zu finden).
In diesem Kapitel untersuchen wir die »Nur-Decoder-Transformer-Architektur« ausführlich, da sie den am weitesten verbreiteten Ansatz für das Training autoregressiver Sprachmodelle bildet.
Die Transformer-Architektur führt zwei Schlüsselinnovationen ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.