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Large Language Models Selbst Programmieren Für Entwickler: Mit Python und PyTorch ein eigenes GPT-ähnliches Modell entwickeln, trainieren und verstehe
Paperback
Publisher: Independently Published
Published: Apr 20 2026
Pages: 216
Weight: 0.68
Height: 0.46 Width: 6.14 Depth: 9.21
Language: German
Wie funktionieren moderne Sprachmodelle wirklich - und was wäre, wenn Sie nicht nur verstehen, sondern selbst eines entwickeln könnten?
Viele Entwickler sto en irgendwann an denselben Punkt: Sie nutzen bestehende Tools, experimentieren mit APIs, erzielen brauchbare Ergebnisse - doch das grundlegende Verständnis bleibt oberflächlich. Die eigentliche Mechanik hinter leistungsstarken Modellen bleibt verborgen. Genau hier entsteht Frustration. Denn wer die Kontrolle nicht hat, kann auch keine echten Innovationen schaffen.
Dieses Buch schlie t genau diese Lücke.
Es richtet sich an Entwickler, die mehr wollen als fertige Lösungen. An diejenigen, die verstehen möchten, wie ein Modell tatsächlich arbeitet - und die bereit sind, den nächsten Schritt zu gehen: ein eigenes System von Grund auf zu entwickeln.
Ohne unnötige Theorie, ohne abschweifende Erklärungen, sondern klar, praxisnah und strukturiert führt dieses Buch durch den gesamten Prozess. Von den ersten Daten bis zum funktionierenden Modell entsteht Schritt für Schritt ein tiefes, anwendbares Verständnis - begleitet von konkreten Codebeispielen und realistischen Szenarien.
Am Ende halten Sie nicht nur Wissen in der Hand, sondern die Fähigkeit, eigene Modelle gezielt zu entwickeln, anzupassen und weiterzuführen.
Was Sie in diesem Buch entdecken werden:
- Wie Sprachmodelle intern funktionieren - verständlich und ohne unnötige Komplexität
- Wie Sie Trainingsdaten sinnvoll aufbereiten und effizient nutzen
- Wie Tokenisierung und Embeddings tatsächlich umgesetzt werden
- Wie Transformer-Architekturen Schritt für Schritt aufgebaut sind
- Wie Sie ein eigenes GPT-ähnliches Modell mit Python und PyTorch entwickeln
- Wie Training, Optimierung und Fine-Tuning in der Praxis funktionieren
- Wie Sie typische Fehler vermeiden und die Modellleistung gezielt verbessern
- Wie Sie auch ohne High-End-Hardware leistungsfähige Ergebnisse erzielen
- Wie Sie Ihr Projekt sauber strukturieren und professionell weiterentwickeln
- Wie Sie aus Ihrem Modell ein echtes, nutzbares System machen
Dieses Buch ist kein schneller Überblick und kein oberflächlicher Einstieg. Es ist ein klar strukturierter Leitfaden für Entwickler, die bereit sind, tiefer zu gehen und sich echte Kompetenz aufzubauen.
Wenn Sie nicht länger nur Nutzer bleiben wollen, sondern verstehen und selbst gestalten möchten, dann ist dies der nächste logische Schritt.
Beginnen Sie jetzt - und entwickeln Sie das Wissen, das den Unterschied macht.
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