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Natürliche Sprachverarbeitung mit Transformatoren: Erstellen Sie Chatbots und Sprachmodelle mit Python
Paperback
Publisher: Independently Published
Published: Aug 29 2025
Pages: 306
Weight: 0.91
Height: 0.64 Width: 6.00 Depth: 9.00
Language: German
Erstellen Sie Chatbots und Sprachmodelle mit Python
Die Zukunft der KI liegt in der Sprachverarbeitung.
Mit Natürliche Sprachverarbeitung mit Transformatoren lernen Sie, wie moderne Transformator-Modelle (z. B. BERT, GPT, T5) funktionieren und wie Sie diese mit Python für praktische Anwendungen einsetzen. Schritt für Schritt entwickeln Sie Chatbots, Textklassifikatoren und Sprachmodelle, die menschliche Sprache verstehen und generieren können.
Grundlagen der natürlichen Sprachverarbeitung (NLP)
Einführung in Tokenisierung, Stemming und Lemmatization
Arbeiten mit Wort-Embeddings (Word2Vec, GloVe, FastText)
Verstehen von Transformator-Architekturen (Attention, Encoder-Decoder)
Einführung in BERT, GPT, RoBERTa, T5 und andere Modelle
Nutzung von Hugging Face Transformers mit Python
Fein-Tuning vortrainierter Modelle für spezifische Aufgaben
Textklassifikation, Sentiment-Analyse und Named Entity Recognition
Erstellung eines Chatbots mit Python und Transformers
Sprachgenerierung mit modernen Modellen
Optimierung und Bereitstellung von Modellen in der Cloud
Einsteiger in NLP, die praxisnah lernen möchten
Python-Programmierer, die KI und Sprachmodelle entwickeln wollen
Studierende & Entwickler, die Chatbots und intelligente Systeme bauen möchten
Fokus auf praktische Projekte mit Python und Hugging Face
Schritt-für-Schritt-Erklärungen auch komplexer Modelle
Direkt anwendbare Codebeispiele und Projekte
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