Natural Language Processing in Action, 2nd Edition (Final Release)КНИГИ » ПРОГРАММИНГ
Название: Natural Language Processing in Action, 2nd Edition (Final Release) Автор: Hobson Lane, Maria Dyshel Издательство: Manning Publications Год: 2025 Страниц: 720 Язык: английский Формат: pdf (true) Размер: 19.1 MB
Develop your NLP skills from scratch, with an open source toolbox of Python packages, Transformers, Hugging Face, vector databases, and your own Large Language Models.
Natural Language Processing in Action, Second Edition has helped thousands of data scientists build machines that understand human language. In this new and revised edition, you’ll discover state-of-the art Natural Language Processing (NLP) models like BERT and HuggingFace transformers, popular open-source frameworks for chatbots, and more. You’ll create NLP tools that can detect fake news, filter spam, deliver exceptional search results and even build truthfulness and reasoning into Large Language Models (LLMs).
Recent advances in deep learning are creating NLP applications with unprecedented power to influence and assist us. Chatbots can now imitate real people, find that tip-of-your-tongue word, diagnose illness, support mental health, educate the public, and automatically generate document summaries—all with free open source software. Accessible open source tools, such as spaCy and PyTorch, make production-level NLP easier and more impactful than ever before.
With Natural Language Processing in Action, you will soon learn how to build machines that can communicate with us humans in our own language. In it, you will use readily available Python packages to capture the meaning of text and react accordingly. The book helps you to develop NLP skills from scratch, from traditional NLP approaches to modern Deep Learning architectures, as you tackle real-world problems, like extracting dates and names, classifying and analyzing documents, and answering free-form questions. For special topics, we provide sufficient background material and cite resources (both text and online) for those who want to gain an in-depth understanding.
In Natural Language Processing in Action, Second Edition you will learn how to:
• Process, analyze, understand, and generate natural language text • Build production-quality NLP pipelines with spaCy • Build neural networks for NLP using Pytorch • BERT and GPT transformers for English composition, writing code, and even organizing your thoughts • Create chatbots and other conversational AI agents
In this new and revised edition, you’ll discover state-of-the art NLP models like BERT and HuggingFace transformers, popular open-source frameworks for chatbots, and more. Plus, you’ll discover vital skills and techniques for optimizing LLMs including conversational design, and automating the “trial and error” of LLM interactions for effective and accurate results.
About the technology:
From nearly human chatbots to ultra-personalized business reports to AI-generated email, news stories, and novels, natural language processing (NLP) has never been more powerful! Groundbreaking advances in deep learning have made high-quality open source models and powerful NLP tools like spaCy and PyTorch widely available and ready for production applications. This book is your entrance ticket—and backstage pass—into the next generation of natural language processing.
About the book:
Natural Language Processing in Action, Second Edition introduces the foundational technologies and state-of-the-art tools you’ll need to write and publish NLP applications. You learn how to create custom models for search, translation, writing assistants, and more, without relying on big commercial foundation models. This fully updated second edition includes coverage of BERT, Hugging Face transformers, fine-tuning large language models, and more.
What's inside:
• NLP pipelines with spaCy • Neural networks with PyTorch • BERT and GPT transformers • Conversational design for chatbots
About the reader: Natural Language Processing in Action, Second Edition, is aimed at intermediate to advanced Python developers. Readers already capable of designing and building complex systems will also find most of this book useful, since it provides numerous best-practice examples and insight into the capabilities of state-of-the-art NLP algorithms. This book requires a basic understanding of Machine Learning and intermediate Python programming skills. Even without these skills, if you are motivated to learn about how AI works under the hood, Natural Language Processing in Action will be a valuable resource on your journey.
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