Ebooks

Behind Gen AI: NLP, LLM and ChatGPT


Behind Gen AI: NLP, LLM and ChatGPT
Behind Gen AI: NLP, LLM and ChatGPT

English | March 27, 2024 | ASIN: B0CZB11BYJ | 283 pages | PDF | 106 Mb

Embark on an exhilarating journey through the realms of Natural Language Processing (NLP) with “NLP, LLM, and ChatGPT.” This comprehensive guide is your gateway to mastering the intricate art of processing human language, constructing powerful language models, and delving deep into the workings of the renowned ChatGPT.
In the first section, “Mastering Natural Language Processing with NLP,” readers will be introduced to the fundamental concepts and techniques of NLP. From tokenization to sentiment analysis, from named entity recognition to language generation, this section equips you with the essential tools and knowledge needed to navigate the diverse landscape of NLP. Whether you’re a seasoned practitioner or a curious beginner, you’ll find yourself immersed in the fascinating world of language understanding and generation.

Explore the foundations of NLP algorithms and methodologies, unravel the mysteries behind machine learning models for text classification and sequence labeling, and discover the secrets of crafting robust NLP pipelines. With hands-on examples and practical exercises, you’ll sharpen your skills and gain confidence in tackling real-world NLP challenges.
Section Highlights
Introduction to NLP: Gain a comprehensive understanding of what NLP is and its significance in today’s technology-driven world.

Text Preprocessing Techniques: Learn how to clean and prepare text data for NLP tasks, including tokenization, stemming, and lemmatization.

Statistical and Machine Learning Models: Dive into the realm of statistical and machine learning models commonly used in NLP, such as Naive Bayes, Support Vector Machines (SVM), and Recurrent Neural Networks (RNNs).

Language Understanding Tasks: Explore various NLP tasks, including text classification, named entity recognition, and sentiment analysis, and learn how to implement them using popular libraries like NLTK and spaCy.
Language Generation: Delve into the fascinating field of language generation, including techniques such as text generation, machine translation, and dialogue systems.

Who This Book Is For
Students: Whether you’re studying computer science, linguistics, or data science, this book provides a solid foundation in NLP principles and techniques.
Practitioners: For professionals working in fields such as artificial intelligence, data analysis, and natural language understanding, this book offers valuable insights and practical guidance for enhancing NLP skills.
Enthusiasts: If you’re simply passionate about language and technology, “NLP, LLM, and ChatGPT” invites you on a captivating journey through the inner workings of human language processing.
Unlock the secrets of Natural Language Processing, embark on the journey to building Large Language Models, and unravel the mysteries of ChatGPT with this indispensable guide. Whether you’re a seasoned professional or an aspiring enthusiast, “NLP, LLM, and ChatGPT” promises to be your ultimate companion in the fascinating world of language and AI. Get ready to transform your understanding of human language and revolutionize the way you interact with technology.

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