June 2025
Intermediate to advanced
414 pages
9h 54m
German
Content preview from Large Language Models selbst programmierenBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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5Vortraining mit ungelabelten Daten
In diesem Kapitel:
- Trainings- und Validierungsverluste berechnen, um die Qualität des LLM-generierten Texts während des Trainings zu bewerten
- Eine Trainingsfunktion implementieren und das LLM vortrainieren
- Modellgewichte speichern und laden, um ein LLM-Training fortsetzen zu können
- Vortrainierte Gewichte von OpenAI laden
Bisher haben wir die Mechanismen für Daten-Sampling und Attention implementiert und die LLM-Architektur programmiert.
Es ist nun an der Zeit, eine Trainingsfunktion zu implementieren und das LLM vorzutrainieren. Dabei lernen Sie grundlegende Modellbewertungstechniken kennen, um die Qualität des generierten Texts zu messen, was eine Voraussetzung für die Optimierung des LLM während des Trainingsprozesses ...
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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.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.