Mastering Transformers for Practical NLP: A Hands on guide to BERT, GPT, T5, LLAMA, RAG, LORA and re

Mastering Transformers for Practical NLP
A Hands-On Guide to BERT, GPT, T5, LLaMA, RAG, LoRA, and Real-World NLP Applications Using Hugging Face, LangChain, and Open LLM Frameworks
Build Powerful NLP Systems. Fine-Tune Open LLMs. Deploy Transformers That Work in the Real World.
Transformers revolutionized natural language processing - and this book shows you how to put them to work. Whether you're a machine learning engineer, data scientist, software developer, or AI startup builder, Mastering Transformers for Practical NLP is your complete guide to building, fine-tuning, and deploying transformer-powered applications.
Inside This Book:
- Train and fine-tune models like BERT, GPT, T5, LLaMA, and Falcon
- Use Hugging Face Transformers, PEFT, LangChain, and ChromaDB
- Implement end-to-end systems for sentiment analysis, summarization, QA, chatbots, and more
- Apply Retrieval-Augmented Generation (RAG) using FAISS and custom document stores
- Serve models using FastAPI, Gradio, and Streamlit
- Optimize workflows with LoRA, QLoRA, quantization, and distillation
- Build and deploy full-stack LLM agents, APIs, and UI prototypes
What Makes This Book Different:
- Developer-first design - step-by-step guides, diagrams, and working code
- Production-focused - every technique is grounded in real-world deployment
- Framework-agnostic thinking - learn Hugging Face, LangChain, open models, and more
- Hands-on mastery - every chapter ends with challenge drills and deployment blueprints
- Visual clarity - uses ASCII diagrams, flowcharts, checklists, and tables instead of images
Who This Book Is For:
- Engineers and developers breaking into NLP or LLM engineering
- Teams building internal NLP tools or customer-facing AI products
- AI researchers looking for practical implementations of transformers
- Indie hackers, startup builders, and solopreneurs using open-source LLMs
Includes:
- 20 project-based chapters from core concepts to production APIs
- Full coverage of tokenization, attention, sequence-to-sequence models, and agentic systems
- Appendices with cheat sheets, CLI commands, environment setup, and ready-to-use prompt templates
If you're ready to go beyond tutorials and truly master transformers for real-world NLP, this book is your blueprint.
Get ready to build. Fine-tune. Deploy. Scale.
Your journey into applied transformer engineering starts here.