Natural Language Processing

Begin your generative AI journey with Python as you explore large language models, understand responsible generative AI practices, and apply your knowledge to real-world applications through guided tutorials Key Features Gain expertise in prompt...

This book is a thorough introduction to the formal foundations and practical applications of Bayesian networks. It provides an extensive discussion of techniques for building Bayesian networks that model real-world situations, including techniques for...

Become an AI language understanding expert by mastering the quantum leap of Transformer neural network model Key Features * Build and implement state-of-the-art language models, such as the original Transformer, BERT, T5, and GPT-2, using concepts that...

This fun, hands-on book will take your basic Python skills to the next level as you build voice-controlled apps to use in your daily life. Starting with a Python refresher and an introduction to speech-recognition/text-to-speech functionalities, you'll...

The idea of interfacing minds with machines has long captured the human imagination. Recent advances in neuroscience and engineering are making this a reality, opening the door to restoration and augmentation of human physical and mental capabilities...

Recent developments in artificial intelligence, especially neural network and deep learning technology, have led to rapidly improving performance in voice assistants such as Siri and Alexa. Over the next few years, capability will continue to improve and...

Language, Cognition, and Human Nature collects together for the first time much of Steven Pinker's most influential scholarly work on language and cognition. Pinker's seminal research explores the workings of language and its connections to cognition,...

This book presents a systematic literary comparison of the retranslations by adopting a mixed-method and bottom-up (inductive) approach by developing an empirical corpus approach. This corpus is specifically tailored to identify and study linguistic and...

Now that storage and collection technologies are cheaper and more precise, methods for extracting relevant information from large datasets is within the reach any experienced programmer willing to crunch data. With this book, you'll learn machine...

Take a problem-solving approach to learning all about transformers and get up and running in no time by implementing methodologies that will build the future of NLP Key Features Explore quick prototyping with up-to-date Python libraries to create...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781805125228Author Sandra KublikFormat PaperbackPage Count 150Imprint Packt PublishingPublisher Packt Publishing

The new field of machine ethics is concerned with giving machines ethical principles, or a procedure for discovering a way to resolve the ethical dilemmas they might encounter, enabling them to function in an ethically responsible manner through their...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781913321604Author Joanna PennFormat PaperbackPage Count 76Imprint Curl Up PressPublisher Curl Up PressWeight(grams) 82gDimensions(mm) 203mm * 127mm * 4mm

Build advanced NLU systems by utilizing NLP libraries such as NLTK, SpaCy, BERT, and OpenAI; ML libraries like Keras, scikit-learn, pandas, TensorFlow, and NumPy, along with visualization libraries such as Matplotlib and Seaborn. Purchase of the print ...

This comprehensive reference work provides an overview of the concepts, methodologies, and applications in computational linguistics and natural language processing (NLP). Features contributions by the top researchers in the field, reflecting the work...

This third edition of Braun and Murdoch's bestselling textbook now includes discussion of the use and design principles of the tidyverse packages in R, including expanded coverage of ggplot2, and R Markdown. The expanded simulation chapter introduces the...

Develop your NLP skills from scratch! This revised bestseller now includes coverage of the latest Python packages, Transformers, the HuggingFace packages, and chatbot frameworks. In Natural Language Processing in Action, Second Edition you will...

Artificial intelligence can seem complex, but the ideas behind it can be understood step by step. To use AI well, you need to know how it works and not just what it does. This book explains the core ideas in a clear and simple way. It makes the maths...

As businesses race to unlock the full potential of large language models (LLMs), a critical challenge has emerged: How do you connect these tools to real-time, external data to solve real-world problems? Retrieval-augmented generation (RAG) is the answer...

Large language models (LLMs) are rapidly becoming the backbone of AI-driven applications. Without proper optimization, however, LLMs can be expensive to run, slow to serve, and prone to performance bottlenecks. As the demand for real-time AI applications...

Transformer models power the chatbots, coders, and translators reshaping every industry today. Yet their architecture, math, and tuning often remain an intimidating black box. Stop copy pasting tutorials and start truly understanding what happens under...

Large Language Models: The Hard Parts offers a clear, practical examination of the limitations developers and ML engineers face when building LLM-powered applications. With a focus on implementation pitfalls (not just capabilities) this book provides...

Your AI prototype works once, then breaks. Ready for production stability? Tired of hallucinations ruining demos and stakeholder trust? Need agent workflows that survive real-world edge cases? Wondering how early adopters ship multi-agent systems today?...

This book offers a comprehensive exploration into the role of Large Language Models (LLMs) in modern healthcare. It focuses specifically on the lifecycle of LLM deployment in healthcare settings, including transparency, accountability, data privacy, and...

Many companies start AI projects, but few scale them successfully. Beacon gives CEOs, CIOs, and enterprise leaders the roadmap to move beyond experimentation and embed AI across the organization.This actionable guide introduces the...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9798341627789Author Chris FreglyFormat PaperbackPage Count 954Imprint O'Reilly MediaPublisher O'Reilly Media

Artificial Intelligence for Natural Language Processing offers a comprehensive exploration of how advanced computational methods are transforming the way machines understand human language. This book delves into the core principles of Natural Language...

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An in-depth history of Large Language Models and what their ubiquity, disruption, and creativity mean from a wider sociopolitical perspective. In November 2022, ChatGPT swept the globe with a mixed frenzy of excitement and anxiety. Was this a step closer...

Master LLM fundamentals to advanced techniques like RAG, reinforcement learning, and knowledge graphs to build, deploy, and scale intelligent AI agents that reason, retrieve, and act autonomously Key Features Implement RAG and knowledge graphs for...

The book's Preface places the current AI explosion in the context of other technological cataclysms and recounts the author's personal (and not always deadly serious) AI journey. Chapter One ("Extracting the Essence") assesses the potential of machine...

The book's Preface places the current AI explosion in the context of other technological cataclysms and recounts the author's personal (and not always deadly serious) AI journey. Chapter One ("Extracting the Essence") assesses the potential of machine...

Quotient Space Based Problem Solving provides an in-depth treatment of hierarchical problem solving, computational complexity, and the principles and applications of multi-granular computing, including inference, information fusing, planning, and...

Learning LLMOps can help optimize the development process, ensure reproducibility, scale infrastructure, and enhance security and privacy, resulting in more efficient and effective deployment of large language models. Large language models require a...

Sorry no description is available for this book at this time.

Step into the world of LLMs with this practical guide that takes you from the fundamentals to deploying advanced applications using LLMOps best practices Key Features Build and refine LLMs step by step, covering data preparation, RAG, and...

Combining corpus linguistics, critical discourse analysis, and a discourse analysis of narratives, this book considers one aspect of the Brexit process: the language that journalists, politicians and individuals used to write and talk about what it means...

Authorship analysis is the process of determining who produced a questioned text by language analysis. Although there has been significant success in the performance of computational methods to solve this problem in recent years, these are often methods...

The binomial noun phrase, or of-binomial, is an important phenomenon in the English language. Defined as a noun phrase that contains two related nouns, linked by the preposition of, examples include a hell of a day and a beast of a storm. This pioneering...

Do you want to gain a deeper understanding of how big tech analyses and exploits our text data, or investigate how political parties differ by analysing textual styles, associations and trends in documents? Or create a map of a text collection and write...