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117182424
Natural Language Processing in Action, Second Edition
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Preces #:
117182424
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- 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).In Natural Language Processing in Action, Second Edition you will learn how to:Process, analyze, understand, and generate natural language textBuild production-quality NLP pipelines with spaCyBuild neural networks for NLP using PytorchBERT and GPT transformers for English composition, writing code, and even organizing your thoughtsCreate chatbots and other conversational AI agentsIn 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 technologyFrom 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 bookNatural 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 insideNLP pipelines with spaCyNeural networks with PyTorchBERT and GPT transformersConversational design for chatbotsAbout the readerFor intermediate Python programmers familiar with deep learning basics.About the authorHobson Lane is a data scientist and machine learning engineer with over twenty years of experience building autonomous systems and NLP pipelines. Maria Dyshel is a social entrepreneur and artificial intelligence expert, and the CEO and cofounder of Tangible AI.Cole Howard and Hannes Max Hapke were co-authors of the first edition.Table fo ContentsPart 11 Machines that read and write: A natural language processing overview2 Tokens of thought: Natural language words3 Math with words: Term frequency–inverse document frequency vectors4 Finding meaning in word counts: Semantic analysisPart 25 Word brain: Neural networks6 Reasoning with word embeddings7 Finding kernels of knowledge in text with CNNs8 Reduce, reuse, and recycle your words: RNNs and LSTMsPart 39 Stackable deep learning: Transformers10 Large language models in the real world11 Information extraction and knowledge graphs12 Getting chatty with dialog enginesA Your NLP toolsB Playful Python and regular expressionsC Vectors and linear algebraD Machine learning tools and techniquesE Deploying NLU containerized microservicesF Glossary
| Publisher | Manning Publications |
| Publication date | February 25, 2025 |
| Edition | 2nd ed. |
| Language | English |
| Print length | 688 pages |
| ISBN-10 | 1617299448 |
| ISBN-13 | 978-1617299445 |
| Item Weight | 2.45 pounds (1.11 kg) |
| Dimensions | 7.38 x 1.72 x 9.25 inches (18.7 x 4.4 x 23.5 cm) |
| Part of series | In Action |
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