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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2Mit Textdaten arbeiten
In diesem Kapitel:
- Text für das LLM-Training aufbereiten
- Text in Wörter und Teilworttokens aufteilen
- Bytepaar-Codierung als fortgeschrittenere Methode der Tokenisierung von Text
- Sampling von Trainingsbeispielen mit einem Gleitfensteransatz
- Tokens in Vektoren konvertieren, die in ein LLM eingespeist werden
Bisher haben wir uns mit der allgemeinen Struktur von Large Language Models (großen Sprachmodellen, LLMs) beschäftigt und festgestellt, dass diese mit riesigen Textmengen vortrainiert werden. Insbesondere haben wir uns auf LLMs konzentriert, die nur den Decoder-Teil der Transformer-Architektur nutzen. Derartige Modelle liegen ChatGPT und anderen populären GPT-ähnlichen LLMs zugrunde.
Während der Vortrainingsphase verarbeiten ...
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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.