Ai Chatbots
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| Author | : Andrew Freed |
| Publisher | : Simon and Schuster |
| Total Pages | : 318 |
| Release | : 2021-10-12 |
| Genre | : Computers |
| ISBN | : 1617298832 |
Design, develop, and deploy human-like AI solutions that chat with your customers, solve their problems, and streamline your support services. In Conversational AI, you will learn how to: Pick the right AI assistant type and channel for your needs Write dialog with intentional tone and specificity Train your AI’s classifier from the ground up Create question-and-direct-response AI assistants Design and optimize a process flow for web and voice Test your assistant’s accuracy and plan out improvements Conversational AI: Chatbots that work teaches you to create the kind of AI-enabled assistants that are revolutionizing the customer service industry. You’ll learn to build effective conversational AI that can automate common inquiries and easily address your customers' most common problems. This engaging and entertaining book delivers the essential technical and creative skills for designing successful AI solutions, from coding process flows and training machine learning, to improving your written dialog. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Create AI-driven chatbots and other intelligent agents that humans actually enjoy talking to! Adding intelligence to automated response systems saves time and money for you and your customers. Conversational AI systems excel at routine tasks such as answering common questions, classifying issues, and routing customers to the appropriate human staff. This book will show you how to build effective, production-ready AI assistants. About the book Conversational AI is a guide to creating AI-driven voice and text agents for customer support and other conversational tasks. This practical and entertaining book combines design theory with techniques for building and training AI systems. In it, you’ll learn how to find training data, assess performance, and write dialog that sounds human. You’ll go from building simple chatbots to designing the voice assistant for a complete call center. What's inside Pick the right AI for your needs Train your AI classifier Create question-and-direct-response assistants Design and optimize a process flow About the reader For software developers. Examples use Watson Assistant and Python. About the author Andrew R. Freed is a Master Inventor and Senior Technical Staff Member at IBM. He has worked in AI solutions since 2012. Table of Contents PART 1 FOUNDATIONS 1 Introduction to conversational AI 2 Building your first conversational AI PART 2 DESIGNING FOR SUCCESS 3 Designing effective processes 4 Designing effective dialogue 5 Building a successful AI assistant PART 3 TRAINING AND TESTING 6 Training your assistant 7 How accurate is your assistant? 8 Testing your dialogue flows PART 4 MAINTENANCE 9 Deployment and management 10 Improving your assistant PART 5 ADVANCED/OPTIONAL TOPICS 11 Building your own classifier 12 Additional training for voice assistants
| Author | : James Crowder |
| Publisher | : Springer Nature |
| Total Pages | : 162 |
| Release | : 2023-11-02 |
| Genre | : Technology & Engineering |
| ISBN | : 3031455096 |
This book explores the subject of artificial psychology from the standpoint of how online Chatbots have infiltrated and affected societies and the world in general. The book explores the psychological effects of depending on an online entity for our needs – even if it’s a reminder of scheduled events. The author provides insight into the notion of human-Chatbot exchanges, understanding, and false emotions both from the Chatbot and from the human. He goes on to investigate and discuss the dangers of too much reliance on technology that learns from a variety of sources and how some sources can negatively influence Chatbots, and by doing so, negatively affect people. The book also discusses human-Chatbot interactions and the natural language interface(s) required to respond adequately to humans. Lastly, the author explores the notion of ethical considerations for people, based on their interactions with Chatbots, including information based on cultural differences between different regions of the world.
| Author | : Cathy Pearl |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 278 |
| Release | : 2016-12-19 |
| Genre | : Computers |
| ISBN | : 1491955384 |
Voice user interfaces (VUIs) are becoming all the rage today. But how do you build one that people can actually converse with? Whether you’re designing a mobile app, a toy, or a device such as a home assistant, this practical book guides you through basic VUI design principles, helps you choose the right speech recognition engine, and shows you how to measure your VUI’s performance and improve upon it. Author Cathy Pearl also takes product managers, UX designers, and VUI designers into advanced design topics that will help make your VUI not just functional, but great.Understand key VUI design concepts, including command-and-control and conversational systemsDecide if you should use an avatar or other visual representation with your VUIExplore speech recognition technology and its impact on your designTake your VUI above and beyond the basic exchange of informationLearn practical ways to test your VUI application with usersMonitor your app and learn how to quickly improve performanceGet real-world examples of VUIs for home assistants, smartwatches, and car systems
| Author | : Michael McTear |
| Publisher | : Morgan & Claypool Publishers |
| Total Pages | : 253 |
| Release | : 2020-10-30 |
| Genre | : Computers |
| ISBN | : 1636390323 |
This book provides a comprehensive introduction to Conversational AI. While the idea of interacting with a computer using voice or text goes back a long way, it is only in recent years that this idea has become a reality with the emergence of digital personal assistants, smart speakers, and chatbots. Advances in AI, particularly in deep learning, along with the availability of massive computing power and vast amounts of data, have led to a new generation of dialogue systems and conversational interfaces. Current research in Conversational AI focuses mainly on the application of machine learning and statistical data-driven approaches to the development of dialogue systems. However, it is important to be aware of previous achievements in dialogue technology and to consider to what extent they might be relevant to current research and development. Three main approaches to the development of dialogue systems are reviewed: rule-based systems that are handcrafted using best practice guidelines; statistical data-driven systems based on machine learning; and neural dialogue systems based on end-to-end learning. Evaluating the performance and usability of dialogue systems has become an important topic in its own right, and a variety of evaluation metrics and frameworks are described. Finally, a number of challenges for future research are considered, including: multimodality in dialogue systems, visual dialogue; data efficient dialogue model learning; using knowledge graphs; discourse and dialogue phenomena; hybrid approaches to dialogue systems development; dialogue with social robots and in the Internet of Things; and social and ethical issues.
| Author | : Lee Boonstra |
| Publisher | : Apress |
| Total Pages | : 405 |
| Release | : 2021-06-25 |
| Genre | : Computers |
| ISBN | : 9781484270134 |
Build enterprise chatbots for web, social media, voice assistants, IoT, and telephony contact centers with Google's Dialogflow conversational AI technology. This book will explain how to get started with conversational AI using Google and how enterprise users can use Dialogflow as part of Google Cloud. It will cover the core concepts such as Dialogflow essentials, deploying chatbots on web and social media channels, and building voice agents including advanced tips and tricks such as intents, entities, and working with context. The Definitive Guide to Conversational AI with Dialogflow and Google Cloud also explains how to build multilingual chatbots, orchestrate sub chatbots into a bigger conversational platform, use virtual agent analytics with popular tools, such as BigQuery or Chatbase, and build voice bots. It concludes with coverage of more advanced use cases, such as building fulfillment functionality, building your own integrations, securing your chatbots, and building your own voice platform with the Dialogflow SDK and other Google Cloud machine learning APIs. After reading this book, you will understand how to build cross-channel enterprise bots with popular Google tools such as Dialogflow, Google Cloud AI, Cloud Run, Cloud Functions, and Chatbase. What You Will Learn Discover Dialogflow, Dialogflow Essentials, Dialogflow CX, and how machine learning is used Create Dialogflow projects for individuals and enterprise usage Work with Dialogflow essential concepts such as intents, entities, custom entities, system entities, composites, and how to track context Build bots quickly using prebuilt agents, small talk modules, and FAQ knowledge bases Use Dialogflow for an out-of-the-box agent review Deploy text conversational UIs for web and social media channels Build voice agents for voice assistants, phone gateways, and contact centers Create multilingual chatbots Orchestrate many sub-chatbots to build a bigger conversational platform Use chatbot analytics and test the quality of your Dialogflow agent See the new Dialogflow CX concepts, how Dialogflow CX fits in, and what’s different in Dialogflow CX Who This Book Is For Everyone interested in building chatbots for web, social media, voice assistants, or contact centers using Google’s conversational AI/cloud technology.
| Author | : Amir Shevat |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 357 |
| Release | : 2017-05-17 |
| Genre | : Computers |
| ISBN | : 1491974834 |
From Facebook Messenger to Kik, and from Slack bots to Google Assistant, Amazon Alexa, and email bots, the new conversational apps are revolutionizing the way we interact with software. This practical guide shows you how to design and build great conversational experiences and delightful bots that help people be more productive, whether it’s for a new consumer service or an enterprise efficiency product. Ideal for designers, product managers, and entrepreneurs, this book explores what works and what doesn’t in real-world bot examples, and provides practical design patterns for your bot-building toolbox. You’ll learn how to use an effective onboarding process, outline different flows, define a bot personality, and choose the right balance of rich control and text. Explore different bot use-cases and design best practices Understand bot anatomy—such as brand and personality, conversations, advanced UI controls—and their associated design patterns Learn steps for building a Facebook Messenger consumer bot and a Slack business bot Explore the lessons learned and shared experiences of designers and entrepreneurs who have built bots Design and prototype your first bot, and experiment with user feedback
| Author | : Srini Janarthanam |
| Publisher | : Packt Publishing Ltd |
| Total Pages | : 383 |
| Release | : 2017-12-29 |
| Genre | : Computers |
| ISBN | : 1788298330 |
Build over 8 chatbots and conversational user interfaces with leading tools such as Chatfuel, Dialogflow, Microsoft Bot Framework, Twilio, Alexa Skills, and Google Actions and deploying them on channels like Facebook Messenger, Amazon Alexa and Google Home About This Book Understand the different use cases of Conversational UIs with this project-based guide Build feature-rich Chatbots and deploy them on multiple platforms Get real-world examples of voice-enabled UIs for personal and home assistance Who This Book Is For This book is for developers who are interested in creating interactive conversational UIs/Chatbots. A basic understanding of JavaScript and web APIs is required. What You Will Learn Design the flow of conversation between the user and the chatbot Create Task model chatbots for implementing tasks such as ordering food Get new toolkits and services in the chatbot ecosystem Integrate third-party information APIs to build interesting chatbots Find out how to deploy chatbots on messaging platforms Build a chatbot using MS Bot Framework See how to tweet, listen to tweets, and respond using a chatbot on Twitter Publish chatbots on Google Assistant and Amazon Alexa In Detail Conversation as an interface is the best way for machines to interact with us using the universally accepted human tool that is language. Chatbots and voice user interfaces are two flavors of conversational UIs. Chatbots are real-time, data-driven answer engines that talk in natural language and are context-aware. Voice user interfaces are driven by voice and can understand and respond to users using speech. This book covers both types of conversational UIs by leveraging APIs from multiple platforms. We'll take a project-based approach to understand how these UIs are built and the best use cases for deploying them. We'll start by building a simple messaging bot from the Facebook Messenger API to understand the basics of bot building. Then we move on to creating a Task model that can perform complex tasks such as ordering and planning events with the newly-acquired-by-Google Dialogflow and Microsoft Bot framework. We then turn to voice-enabled UIs that are capable of interacting with users using speech with Amazon Alexa and Google Home. By the end of the book, you will have created your own line of chatbots and voice UIs for multiple leading platforms. Style and approach This is a practical book, where each chapter focuses on a chatbot project. The chapters take a step-by-step approach to help you build intelligent chatbots that act as personal assistants.
| Author | : Darwish, Dina |
| Publisher | : IGI Global |
| Total Pages | : 403 |
| Release | : 2024-04-09 |
| Genre | : Computers |
| ISBN | : |
In the field of information retrieval, the challenge lies in the speed and accuracy with which users can access relevant data. With the increasing complexity of digital interactions, the need for a solution that transcends traditional methods becomes evident. Human involvement and manual investigation are not only time-consuming but also prone to errors, hindering the seamless exchange of information in various sectors. Design and Development of Emerging Chatbot Technology emerges as a comprehensive solution to the predicament posed by traditional information retrieval methods. Focusing on the transformative power of chatbots, it delves into the intricacies of their operation, applications, and development. Designed for academic scholars across diverse disciplines, the book serves as a beacon for those seeking a deeper understanding of chatbots and their potential to revolutionize information retrieval in customer service, education, healthcare, e-commerce, and more.
| Author | : Gourav Bathla |
| Publisher | : CRC Press |
| Total Pages | : 331 |
| Release | : 2024-10-23 |
| Genre | : Computers |
| ISBN | : 1040134246 |
This book presents state-of-the-art research works for a better understanding of the advantages and limitations of AI techniques in the field of healthcare. It will further discuss artificial intelligence applications in depression, hypertension and diabetes management. The text also presents an artificial intelligence chatbot for depression, diabetes, and hypertension self-help. This book: Provides a structured overview of recent developments of artificial intelligence applications in the healthcare sector. Presents an in-depth understanding of how artificial intelligence techniques can be applied to diabetes management. Showcases supervised learning techniques based on datasets for depression management. Discusses artificial intelligence chatbot for diabetes, depression, and hypertension self-care. Highlights the importance of artificial intelligence in managing and predicting diabetes, hypertension, and depression. The text is primarily written for senior undergraduate, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, computer science and engineering, and biomedical engineering.
| Author | : A. Jose Anand |
| Publisher | : John Wiley & Sons |
| Total Pages | : 395 |
| Release | : 2024-10-01 |
| Genre | : Computers |
| ISBN | : 1394242506 |
Artificial Intelligence-Based System Models in Healthcare provides a comprehensive and insightful guide to the transformative applications of AI in the healthcare system. This book is a groundbreaking exploration of the synergies between artificial intelligence and healthcare innovation. In an era where technological advancements are reshaping the landscape of medical practices, this book provides a comprehensive and insightful guide to the transformative applications of AI in healthcare systems. From conceptual foundations to practical implementations, the book serves as a roadmap for understanding the intricate relationships between AI-based system models and the evolution of healthcare delivery. The first section delves into the fundamental role of technology in reshaping the healthcare landscape. With a focus on daily life activities, decision support systems, vision-based management, and semantic frameworks, this section lays the groundwork for understanding the pivotal role of AI in revolutionizing traditional healthcare approaches. Each chapter offers a unique perspective, emphasizing the intricate integration of technology into healthcare ecosystems. The second section takes a deep dive into specific applications of AI, ranging from predictive analysis and machine learning to deep learning, image analysis, and biomedical text processing. With a focus on decision-making support systems, this section aims to demystify the complex world of AI algorithms in healthcare, offering valuable insights into their practical implications and potential impact on patient outcomes. The final section addresses the modernization of healthcare practices and envisions the future landscape of AI applications. From medical imaging and diagnostics to predicting ventilation needs in intensive care units, modernizing health record maintenance, natural language processing, chatbots for medical inquiries, secured health insurance management, and glimpses into the future, the book concludes by exploring the frontiers of AI-driven healthcare innovations. Audience This book is intended for researchers and postgraduate students in artificial intelligence and the biomedical and healthcare sectors. Medical administrators, policymakers and regulatory specialists will also have an interest.
