Overview

Natural Language Processing with Transformers: Master Text-Based AI using BERT, GPT & More is your practical roadmap to building real-world NLP solutions with today's most powerful deep learning models. Whether you're a curious beginner or an experienced developer, this book walks you step by step from core NLP concepts to production-ready transformer applications. Natural Language Processing wit... Inside, you'll quickly move from ""I've heard of transformers"" to confidently implementing models like BERT, GPT, T5, RoBERTa, BART, and more. You'll see exactly how these architectures work under the hood, why attention changes everything, and how to turn pre-trained models into high-performing tools for your own datasets and products. You'll learn how to: - Understand the foundations of NLP and the evolution from rule-based systems to deep learning - Grasp transformer architecture, self-attention, multi-head attention, and positional encoding without getting lost in math - Work hands-on with Hugging Face Transformers to load, fine-tune, and deploy pre-trained models - Build real projects: text classification, sentiment analysis, question answering, text generation, and machine translation - Train and fine-tune transformer models for domain-specific tasks using transfer learning - Evaluate and optimize models for accuracy, speed, and robustness - Navigate ethical issues in NLP, including bias, fairness, and responsible AI use - Anticipate where NLP is heading and how to future-proof your skills Written in clear, practical language by experienced technologist Ezra M. Falcon, this book focuses on real-world implementation, not just theory. Code-centric explanations, concrete examples, and project-driven chapters help you quickly bridge the gap between reading about transformers and actually using them in production. Perfect for software developers, data scientists, ML engineers, and technical students, Natural Language Processing with Transformers gives you the knowledge and confidence to build smarter search, better chatbots, more accurate classifiers, and powerful language-aware applications. If you're ready to move beyond buzzwords and start mastering transformers in your own work, this is your guide. Add it to your library and start building NLP systems that deliver real value today.

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