Mastering NLP with Large Language Models: A Practical Guide to Modern AI Unlock the power of cutting-edge Natural Language Processing with this hands-on guide to building intelligent systems using Large Language Models (LLMs). Mastering NLP with Large Language Models walks you through the core techniques, tools, and real-world applications that define today's most advanced AI workflows. Whether you're building chatbots, search engines, or autonomous agents, this book offers a clear, structured path to understanding and ...
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Mastering NLP with Large Language Models: A Practical Guide to Modern AI Unlock the power of cutting-edge Natural Language Processing with this hands-on guide to building intelligent systems using Large Language Models (LLMs). Mastering NLP with Large Language Models walks you through the core techniques, tools, and real-world applications that define today's most advanced AI workflows. Whether you're building chatbots, search engines, or autonomous agents, this book offers a clear, structured path to understanding and deploying LLMs effectively. Covering everything from transformer basics to Retrieval-Augmented Generation (RAG), prompt engineering, multimodal models, and ethical deployment, this guide bridges theory with practical implementation. You'll gain deep insights into tools like Hugging Face Transformers, LangChain, Haystack, OpenAI APIs, Cohere, and more-while learning how to optimize, scale, and deploy AI systems with confidence. This book is a comprehensive, step-by-step resource for mastering NLP with LLMs. It's structured to take you from foundational concepts through to building production-ready applications. With fully functional code examples in Python, you'll learn to fine-tune models, integrate vector databases, apply efficient training methods like LoRA and adapters, and explore deployment with tools like FastAPI and Streamlit. Key Features of this Book: In-depth coverage of Large Language Models, including GPT, BERT, and multimodal architectures Practical projects using Hugging Face, LangChain, Haystack, OpenAI, and Cohere Tutorials on RAG pipelines, prompt tuning, quantization, and distillation Deployment strategies with FastAPI, Streamlit, and MLOps practices Discussions on bias, fairness, transparency, and AI governance Easy-to-follow Python code with real-world use cases This book is ideal for data scientists, machine learning engineers, software developers, AI researchers, and tech professionals eager to master NLP with large language models. It's also a solid resource for advanced learners, students, and educators seeking modern, practical insights into applied AI. Ready to build the future of AI with the most powerful NLP tools available today? Grab your copy of Mastering NLP with Large Language Models: A Practical Guide to Modern AI and start developing intelligent, scalable, and responsible AI systems-one project at a time.
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Add this copy of Mastering NLP with Large Language Models: A Practical to cart. $13.69, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2025 by Independently Published.
Add this copy of Mastering Nlp With Large Language Models: a Practical to cart. $17.14, new condition, Sold by Just one more Chapter rated 3.0 out of 5 stars, ships from Miramar, FL, UNITED STATES, published 2025 by Independently published.
