Natural Language Processing With Ai Agents Techniques For Real World Problems

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Natural Language Processing With Ai Agents Techniques For Real World Problems
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Author : Anand Vemula
language : en
Publisher: Anand Vemula
Release Date :
Natural Language Processing With Ai Agents Techniques For Real World Problems written by Anand Vemula and has been published by Anand Vemula this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
This book provides a comprehensive exploration of Natural Language Processing (NLP) and its application in building intelligent AI agents capable of understanding and generating human-like interactions. It covers fundamental concepts in NLP, such as tokenization, part-of-speech tagging, and named entity recognition, followed by core machine learning techniques for language understanding. The book delves into the key architectures in NLP, from traditional machine learning approaches like Naïve Bayes and SVMs to advanced deep learning models, including RNNs, LSTMs, and transformers, with a special focus on large language models (LLMs) that have transformed the field. The second section discusses the development of NLP-powered AI agents, focusing on conversational AI and chatbots, highlighting the difference between rule-based and AI-driven models. It explores designing conversational agents and managing multi-turn dialogues. The section also covers speech recognition systems, combining NLP with automatic speech recognition (ASR) for creating voice-enabled AI agents. Techniques for natural language understanding (NLU), intent detection, and semantic parsing are explored, emphasizing how AI agents interpret and respond to user queries effectively. The book also examines the role of NLP in content generation, including natural language generation (NLG) for text summarization and AI-driven content creation. Advanced applications such as sentiment analysis, question-answering systems, multimodal NLP, and emotion detection are explored, demonstrating the broad potential of NLP agents across industries like healthcare, customer support, and robotics. The final part of the book provides practical guidance on training, fine-tuning, and deploying NLP-based AI systems at scale, with insights into cloud-based solutions and real-time processing. It concludes with a discussion of the future of NLP, focusing on AI ethics, the potential of generative AI, and the evolving trends in human-AI collaboration. This book serves as a comprehensive guide for both practitioners and researchers, offering insights into the cutting-edge techniques and applications of NLP and AI agents in solving real-world problems.
Natural Language Processing In Action
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Author : Hannes Hapke
language : en
Publisher: Simon and Schuster
Release Date : 2019-03-16
Natural Language Processing In Action written by Hannes Hapke and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-16 with Computers categories.
Summary Natural Language Processing in Action is your guide to creating machines that understand human language using the power of Python with its ecosystem of packages dedicated to NLP and AI. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Recent advances in deep learning empower applications to understand text and speech with extreme accuracy. The result? Chatbots that can imitate real people, meaningful resume-to-job matches, superb predictive search, and automatically generated document summaries—all at a low cost. New techniques, along with accessible tools like Keras and TensorFlow, make professional-quality NLP easier than ever before. About the Book Natural Language Processing in Action is your guide to building machines that can read and interpret human language. In it, you'll use readily available Python packages to capture the meaning in text and react accordingly. The book expands traditional NLP approaches to include neural networks, modern deep learning algorithms, and generative techniques as you tackle real-world problems like extracting dates and names, composing text, and answering free-form questions. What's inside Some sentences in this book were written by NLP! Can you guess which ones? Working with Keras, TensorFlow, gensim, and scikit-learn Rule-based and data-based NLP Scalable pipelines About the Reader This book requires a basic understanding of deep learning and intermediate Python skills. About the Author Hobson Lane, Cole Howard, and Hannes Max Hapke are experienced NLP engineers who use these techniques in production. Table of Contents PART 1 - WORDY MACHINES Packets of thought (NLP overview) Build your vocabulary (word tokenization) Math with words (TF-IDF vectors) Finding meaning in word counts (semantic analysis) PART 2 - DEEPER LEARNING (NEURAL NETWORKS) Baby steps with neural networks (perceptrons and backpropagation) Reasoning with word vectors (Word2vec) Getting words in order with convolutional neural networks (CNNs) Loopy (recurrent) neural networks (RNNs) Improving retention with long short-term memory networks Sequence-to-sequence models and attention PART 3 - GETTING REAL (REAL-WORLD NLP CHALLENGES) Information extraction (named entity extraction and question answering) Getting chatty (dialog engines) Scaling up (optimization, parallelization, and batch processing)
Real World Natural Language Processing
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Author : Masato Hagiwara
language : en
Publisher: Simon and Schuster
Release Date : 2021-12-14
Real World Natural Language Processing written by Masato Hagiwara and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-14 with Computers categories.
Training computers to interpret and generate speech and text is a monumental challenge, and the payoff for reducing labor and improving human/computer interaction is huge! The field of Natural language processing (NLP) is advancing rapidly, with countless new tools and practices. This unique book offers an innovative collection of NLP techniques with applications in machine translation, voice assitants, text generation and more. "Real-world natural language processing" shows you how to build the practical NLP applications that are transforming the way humans and computers work together. Guided by clear explanations of each core NLP topic, you'll create many interesting applications including a sentiment analyzer and a chatbot. Along the way, you'll use Python and open source libraries like AllenNLP and HuggingFace Transformers to speed up your development process.
Natural Language Processing In Action Second Edition
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Author : Hobson Lane
language : en
Publisher: Simon and Schuster
Release Date : 2025-02-25
Natural Language Processing In Action Second Edition written by Hobson Lane and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-25 with Computers categories.
Develop your NLP skills from scratch! This revised bestseller now includes coverage of the latest Python packages, Transformers, the HuggingFace packages, and chatbot frameworks.Natural Language Processing in Action 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 NLP models like BERT and HuggingFace transformers, popular open-source frameworks for chatbots, and more. As you go, you'll create projects that can detect fake news, filter spam, and even answer your questions, all built with Python and its ecosystem of data tools. Natural Language Processing in Action, Second Edition is your guide to building software that can read and interpret human language. This new edition is updated to include the latest Python packages and comes with full coverage of cutting-edge models like BERT, GPT-J and HuggingFace transformers.In it, you'll learn to create fun and useful NLP applications such as semantic search engines that are even better than Google, chatbots that can help you write a book, and a multilingual translation program. Soon, you'll be ready to start tackling real-world problems with NLP.
Practical Natural Language Processing
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Author : Sowmya Vajjala
language : en
Publisher: O'Reilly Media
Release Date : 2020-06-17
Practical Natural Language Processing written by Sowmya Vajjala and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-17 with Computers categories.
Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you want to build, iterate, and scale NLP systems in a business setting and tailor them for particular industry verticals, this is your guide. Software engineers and data scientists will learn how to navigate the maze of options available at each step of the journey. Through the course of the book, authors Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, and Harshit Surana will guide you through the process of building real-world NLP solutions embedded in larger product setups. You’ll learn how to adapt your solutions for different industry verticals such as healthcare, social media, and retail. With this book, you’ll: Understand the wide spectrum of problem statements, tasks, and solution approaches within NLP Implement and evaluate different NLP applications using machine learning and deep learning methods Fine-tune your NLP solution based on your business problem and industry vertical Evaluate various algorithms and approaches for NLP product tasks, datasets, and stages Produce software solutions following best practices around release, deployment, and DevOps for NLP systems Understand best practices, opportunities, and the roadmap for NLP from a business and product leader’s perspective
Natural Language Processing In Artificial Intelligence
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Author : Brojo Kishore Mishra
language : en
Publisher: Apple Academic Press
Release Date : 2022-06
Natural Language Processing In Artificial Intelligence written by Brojo Kishore Mishra and has been published by Apple Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06 with categories.
Natural Language Processing in Artificial Intelligence, focuses on natural language processing, artificial intelligence, and allied areas. The book delves into natural language processing, which enables communication between people and computers and automatic translation to facilitate easy interaction with others around the world.
Artificial Intelligence Concepts Techniques And Applications
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Author : Dr. Amir Barhoi
language : en
Publisher: Chyren Publication
Release Date : 2025-04-16
Artificial Intelligence Concepts Techniques And Applications written by Dr. Amir Barhoi and has been published by Chyren Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-16 with Antiques & Collectibles categories.
Advanced Natural Language Processing With Tensorflow 2
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Author : Ashish Bansal
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-02-04
Advanced Natural Language Processing With Tensorflow 2 written by Ashish Bansal and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-04 with Computers categories.
One-stop solution for NLP practitioners, ML developers, and data scientists to build effective NLP systems that can perform real-world complicated tasks Key FeaturesApply deep learning algorithms and techniques such as BiLSTMS, CRFs, BPE and more using TensorFlow 2Explore applications like text generation, summarization, weakly supervised labelling and moreRead cutting edge material with seminal papers provided in the GitHub repository with full working codeBook Description Recently, there have been tremendous advances in NLP, and we are now moving from research labs into practical applications. This book comes with a perfect blend of both the theoretical and practical aspects of trending and complex NLP techniques. The book is focused on innovative applications in the field of NLP, language generation, and dialogue systems. It helps you apply the concepts of pre-processing text using techniques such as tokenization, parts of speech tagging, and lemmatization using popular libraries such as Stanford NLP and SpaCy. You will build Named Entity Recognition (NER) from scratch using Conditional Random Fields and Viterbi Decoding on top of RNNs. The book covers key emerging areas such as generating text for use in sentence completion and text summarization, bridging images and text by generating captions for images, and managing dialogue aspects of chatbots. You will learn how to apply transfer learning and fine-tuning using TensorFlow 2. Further, it covers practical techniques that can simplify the labelling of textual data. The book also has a working code that is adaptable to your use cases for each tech piece. By the end of the book, you will have an advanced knowledge of the tools, techniques and deep learning architecture used to solve complex NLP problems. What you will learnGrasp important pre-steps in building NLP applications like POS taggingUse transfer and weakly supervised learning using libraries like SnorkelDo sentiment analysis using BERTApply encoder-decoder NN architectures and beam search for summarizing textsUse Transformer models with attention to bring images and text togetherBuild apps that generate captions and answer questions about images using custom TransformersUse advanced TensorFlow techniques like learning rate annealing, custom layers, and custom loss functions to build the latest DeepNLP modelsWho this book is for This is not an introductory book and assumes the reader is familiar with basics of NLP and has fundamental Python skills, as well as basic knowledge of machine learning and undergraduate-level calculus and linear algebra. The readers who can benefit the most from this book include intermediate ML developers who are familiar with the basics of supervised learning and deep learning techniques and professionals who already use TensorFlow/Python for purposes such as data science, ML, research, analysis, etc.
Essentials Of Ai And Soft Computing
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Author : SHARMA, ANUJ
language : en
Publisher: PHI Learning Pvt. Ltd.
Release Date : 2024-09-25
Essentials Of Ai And Soft Computing written by SHARMA, ANUJ and has been published by PHI Learning Pvt. Ltd. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-25 with Computers categories.
The book has been primarily designed for the beginners in the subject. It has been written from the students' perspective, making it easy to understand. The contents are briefly explained with the help of examples in a direct and a pragmatic approach. Each chapter begins with the basics and is standalone; the dependence of the chapters on previous concepts has been minimized. The text is aimed to balance the mix of notation and words in mathematical statements. Artificial Intelligence and Soft Computing topics are often expressed in terms of algorithms, hence key algorithms are introduced with their explanations. These algorithms are expressed in words and in an easy to understand form of structured psuedocodes. The students should easily grasp the psuedocodes used in the text to express the algorithms, regardless of whether they have formally studied programming languages. KEY FEATURES • Short and concise explanation with examples. • Direct and pragmatic writing style. • Structured psuedocodes for explaining algorithms. • Balanced mix of notation and words in mathematical statements. • Meticulously organised chapter for effective teaching and learning. • Chapter-end Exercises to help students practice and assess their knowledge. TARGET AUDIENCE • BCA and MCA • B.Sc. Computer Science and Information Technology • B.Tech. Computer Science Engineering and Information Technology
Digital Worker An Ai Agent Using Python Learn In Just 3 Hours
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Author : QuickTechie | A career growth machine
language : en
Publisher: QuickTechie | A Career growth Machine
Release Date : 2025-02-01
Digital Worker An Ai Agent Using Python Learn In Just 3 Hours written by QuickTechie | A career growth machine and has been published by QuickTechie | A Career growth Machine this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-01 with Business & Economics categories.
Digital Worker: An AI Agent using Python Learn in Just 3 Hours" is a practical guide focused on enabling developers, tech enthusiasts, and business professionals to rapidly create and deploy AI-powered digital workers. This book emphasizes a hands-on approach to building AI agents using Python, making it accessible even for those with minimal prior experience in AI development. Designed to be completed within a focused three-hour timeframe, the book eschews lengthy theoretical explanations in favor of practical application. According to the book's approach, readers will quickly learn to build intelligent AI agents leveraging Python and contemporary AI frameworks. This includes understanding how to automate various tasks through the use of AI-driven decision-making processes and natural language processing (NLP). This knowledge will allow readers to integrate their custom-built AI workers into diverse real-world scenarios such as customer support systems, financial applications, and general enterprise automation solutions, as highlighted by the practical examples offered. Furthermore, the book offers guidance on optimizing and scaling AI agents, ensuring they operate with both efficiency and accuracy. The learning is structured through step-by-step tutorials and grounded in real-world examples, allowing the reader to quickly grasp fundamental AI concepts and begin implementing AI digital workers without months of preparatory study. As QuickTechie.com might endorse, whether you are a developer seeking to enhance your skills, an entrepreneur aiming to integrate automation into your business processes, or simply an AI enthusiast eager to explore practical applications, this book provides a rapid and effective pathway to harnessing the power of automation and AI. The book empowers individuals to start creating and deploying AI solutions quickly without a long and complex learning process.