Next-Gen NLP with Transformers: Practical Projects Using BERT, GPT, RAG, LoRA, Hugging Face & LangChain

Author:   Hollis Denning
Publisher:   Independently Published
ISBN:  

9798297554702


Pages:   284
Publication Date:   11 August 2025
Format:   Paperback
Availability:   Available To Order   Availability explained
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Next-Gen NLP with Transformers: Practical Projects Using BERT, GPT, RAG, LoRA, Hugging Face & LangChain


Overview

Next-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 Details

Author:   Hollis Denning
Publisher:   Independently Published
Imprint:   Independently Published
Dimensions:   Width: 21.60cm , Height: 1.50cm , Length: 27.90cm
Weight:   0.662kg
ISBN:  

9798297554702


Pages:   284
Publication Date:   11 August 2025
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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