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OverviewNext-Gen NLP with Transformers: Practical Projects Using BERT, GPT, RAG, LoRA, Hugging Face & LangChain Master the latest transformer models and build real-world NLP applications - step-by-step. Are you ready to go beyond theory and start building cutting-edge Natural Language Processing (NLP) systems with confidence? This hands-on guide walks you through everything you need to deploy, fine-tune, and monitor real-world transformer pipelines using today's most powerful tools - including BERT, GPT, RAG, T5, LoRA, LangChain, FAISS, and Hugging Face. Whether you're a beginner, an ML practitioner, or a software engineer looking to break into AI-powered text systems, this book will give you the skills and tools to build production-grade applications from scratch. What You'll Learn - Practical, Modern, and Actionable Understand transformer models: BERT, GPT, T5, LLaMA, and more - explained clearly and practically. Fine-tune with LoRA: Apply parameter-efficient training to domain-specific tasks like legal text classification. Build RAG pipelines: Integrate FAISS or ChromaDB with GPT to create retrieval-augmented question-answering tools. Use LangChain like a pro: Create agents, prompt chains, memory modules, and custom tools. Deploy real apps: Use FastAPI, Docker, and Streamlit to launch apps on Render, Vercel, or GCP. Monitor and optimize: Track LLM usage, costs, and performance with LangSmith and PromptLayer. Inside the Book - Purely Practical Projects Build a Sentiment Classifier API with BERT + FastAPI Create a News Summarizer App with T5 + Streamlit Develop a Q&A Chatbot with GPT + LangChain memory Deploy a full AI Legal Assistant using RAG, LoRA, and private document search Implement Prompt Evaluation Sandboxes and CI/CD pipelines for LLM agents Perfect For: Beginners to Intermediate AI Engineers Python Developers Data Scientists Tech Founders Whether you're building chatbots, internal tools, or full-scale NLP products, this book offers a complete A-Z roadmap for turning transformer models into reliable, scalable, and intelligent applications. Bonus Content: Hugging Face Transformers Cheat Sheet LangChain Component Guide Dataset Repository for Legal, Financial, and Healthcare NLP Glossary of 100+ NLP Terms for Fast Reference Deployment Templates for FastAPI + Docker + Streamlit Don't just learn NLP - build it. Next-Gen NLP with Transformers gives you the clarity, confidence, and code to lead the AI future. Full Product DetailsAuthor: Hollis DenningPublisher: Independently Published Imprint: Independently Published Dimensions: Width: 21.60cm , Height: 1.50cm , Length: 27.90cm Weight: 0.662kg ISBN: 9798297554702Pages: 284 Publication Date: 11 August 2025 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: Available To Order We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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