Natural Language Processing with Transformers: Build Chatbots and Language Models with Python
Language: English
Published by Independently published, 2025
- Softcover
- New

Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
AbeBooks seller since April 6, 2009
Condition: New
£ 17.12
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- Title
- Natural Language Processing with Transformers: Build Chatbots and Language Models with Python
- Author
- Blunt, Booker
- Publisher
- Independently published
- Publication year
- 2025
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 13
- 9798291709801
Teach machines to understand and generate human language—with powerful transformer models.
Natural Language Processing with Transformers is your hands-on guide to building modern NLP applications using Python. Whether you're working on chatbots, sentiment analysis, translation, or text summarization, this book shows you how to use cutting-edge transformer models like BERT, GPT, and T5 to bring your ideas to life.
You’ll go beyond traditional NLP techniques and learn how to work with pre-trained models, fine-tune them for custom tasks, and integrate them into real-world Python applications.
Inside, you’ll learn how to:
-
Understand the architecture behind transformers and attention mechanisms
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Use the Hugging Face Transformers library to access pre-trained models
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Tokenize and process text for model input and output
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Build a chatbot using a conversational transformer
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Fine-tune models for classification, summarization, and Q&A tasks
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Apply sentiment analysis and named entity recognition (NER)
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Handle multilingual tasks like translation and language detection
-
Deploy models using simple Python scripts or APIs
Each chapter includes code samples, clear explanations, and practical projects you can use and adapt.
Whether you're a data scientist, developer, or tech enthusiast, Natural Language Processing with Transformers gives you the tools to start building intelligent language apps today.
"Synopsis" may belong to another edition of this title.
GreatBookPrices
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