Natural Language Processing in Action, Second Edition
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Form:Einzelkauf Download
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Sprache:Englisch
70,14 €
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
ePUB
Kopierschutz
Ja
Family Sharing
Ja
Text-to-Speech
Ja
Erscheinungsdatum
25.02.2025
Verlag
ManningSeitenzahl
688 (Printausgabe)
Dateigröße
23595 KB
Sprache
Englisch
EAN
9781638357339
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:
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 ticketand backstage passinto 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
For intermediate Python programmers familiar with deep learning basics.
About the author
Hobson 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.
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 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
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 ticketand backstage passinto 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
For intermediate Python programmers familiar with deep learning basics.
About the author
Hobson 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.
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