{"product_id":"nlp-technical-reference-9798188521158","title":"NLP Technical Reference","description":"\u003cp\u003e • Author(s): Rashmi Patel\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Computer Science\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eNatural Language Processing: Complete Technical Reference\u003c\/b\u003e is a comprehensive, production-focused guide designed for AI engineers, machine learning practitioners, software developers, data scientists, and students who want to master modern NLP from first principles to real-world deployment.\u003c\/p\u003e\u003cp\u003eRather than focusing on isolated concepts, this book presents the complete NLP ecosystem-from classical text preprocessing and statistical techniques to Transformers, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), parameter-efficient fine-tuning, multimodal AI, multilingual models, and production-grade NLP systems.\u003c\/p\u003e\u003cp\u003eEvery chapter combines intuitive explanations with technical depth, practical Python examples, production insights, common implementation mistakes, interview-focused questions, and real-world engineering best practices.\u003c\/p\u003e\u003cp\u003eInside this book you'll learn: \u003c\/p\u003e\u003cp\u003eNatural Language Processing fundamentals\u003c\/p\u003e\u003cp\u003eText preprocessing, tokenization, POS tagging, NER, and parsing\u003c\/p\u003e\u003cp\u003eTF-IDF, Word2Vec, GloVe, FastText, and Sentence-BERT\u003c\/p\u003e\u003cp\u003eRNNs, LSTMs, GRUs, Seq2Seq, Attention, and Transformers\u003c\/p\u003e\u003cp\u003eBERT, GPT, T5, and modern Large Language Models\u003c\/p\u003e\u003cp\u003eRetrieval-Augmented Generation (RAG) architecture\u003c\/p\u003e\u003cp\u003eLoRA, QLoRA, PEFT, DPO, and LLM fine-tuning\u003c\/p\u003e\u003cp\u003ePrompt Engineering and AI Agents\u003c\/p\u003e\u003cp\u003eProduction deployment, optimization, monitoring, and evaluation\u003c\/p\u003e\u003cp\u003eMultimodal NLP and multilingual language models\u003c\/p\u003e\u003cp\u003eNLP interview questions with detailed explanations\u003c\/p\u003e\u003cp\u003eA complete end-to-end NLP project\u003c\/p\u003e\u003cp\u003e200+ NLP and LLM glossary terms for quick reference\u003c\/p\u003e\u003cp\u003eWhether you're preparing for technical interviews, building enterprise AI applications, or transitioning into AI engineering, this reference provides the knowledge needed to design, implement, deploy, and maintain modern Natural Language Processing systems.\u003c\/p\u003e\u003cp\u003eIf you're looking for a practical NLP handbook that bridges theory, implementation, and production engineering, this book belongs on your bookshelf.\u003c\/p\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":48215488364695,"sku":"9798188521158","price":1872.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798188521158.webp?v=1788733483","url":"https:\/\/atlanticbooks.com\/products\/nlp-technical-reference-9798188521158","provider":"Atlantic Books","version":"1.0","type":"link"}