Building Intelligent Chatbots on AWS.
| Author | : |
| Publisher | : |
| Total Pages | : |
| Release | : 2019 |
| Genre | : |
| ISBN | : |
Download Building Intelligent Chatbots on AWS. Book in PDF, ePub and Kindle
Learn how to develop, build, and deploy a chatbot using Amazon Lex.
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Building Intelligent Chatbots
| Author | : Kerry E Jones |
| Publisher | : Independently Published |
| Total Pages | : 0 |
| Release | : 2024-04-08 |
| Genre | : Computers |
| ISBN | : |
Download Building Intelligent Chatbots Book in PDF, ePub and Kindle
In today's digital age, chatbots have become an integral part of delivering exceptional user experiences. This comprehensive guide will provide you with a solid foundation to design, develop, and deploy intelligent chatbots that can transform customer interactions and streamline business operations. From understanding the fundamentals of conversational AI and natural language processing (NLP) to mastering advanced techniques like intent recognition and context management, this book covers all the essential aspects of building chatbots that truly understand and engage users. You'll learn how to: Implement robust natural language understanding (NLU) models to accurately interpret user input Design intuitive conversational flows and dialogue structures Integrate with external APIs and services to enrich chatbot capabilities Leverage machine learning techniques for continuous improvement Ensure privacy, transparency, and ethical use of chatbot technology With practical examples, step-by-step instructions, and real-world case studies, this book empowers you to create chatbots that can handle complex queries, provide personalized responses, and adapt to user preferences seamlessly. Whether you're a developer, designer, or business professional, this book is your guide to navigating the exciting world of conversational AI. Discover best practices, industry insights, and future trends that will help you stay ahead of the curve in chatbot development.
Building Chatbots with Python
| Author | : Sumit Raj |
| Publisher | : Apress |
| Total Pages | : 205 |
| Release | : 2018-12-12 |
| Genre | : Computers |
| ISBN | : 1484240960 |
Download Building Chatbots with Python Book in PDF, ePub and Kindle
Build your own chatbot using Python and open source tools. This book begins with an introduction to chatbots where you will gain vital information on their architecture. You will then dive straight into natural language processing with the natural language toolkit (NLTK) for building a custom language processing platform for your chatbot. With this foundation, you will take a look at different natural language processing techniques so that you can choose the right one for you. The next stage is to learn to build a chatbot using the API.ai platform and define its intents and entities. During this example, you will learn to enable communication with your bot and also take a look at key points of its integration and deployment. The final chapter of Building Chatbots with Python teaches you how to build, train, and deploy your very own chatbot. Using open source libraries and machine learning techniques you will learn to predict conditions for your bot and develop a conversational agent as a web application. Finally you will deploy your chatbot on your own server with AWS. What You Will Learn Gain the basics of natural language processing using Python Collect data and train your data for the chatbot Build your chatbot from scratch as a web app Integrate your chatbots with Facebook, Slack, and Telegram Deploy chatbots on your own server Who This Book Is For Intermediate Python developers who have no idea about chatbots. Developers with basic Python programming knowledge can also take advantage of the book.
Build Better Chatbots
| Author | : Rashid Khan |
| Publisher | : Apress |
| Total Pages | : 113 |
| Release | : 2017-12-13 |
| Genre | : Computers |
| ISBN | : 1484231112 |
Download Build Better Chatbots Book in PDF, ePub and Kindle
Learn best practices for building bots by focusing on the technological implementation and UX in this practical book. You will cover key topics such as setting up a development environment for creating chatbots for multiple channels (Facebook Messenger, Skype, and KiK); building a chatbot (design to implementation); integrating to IFTT (If This Then That) and IoT (Internet of Things); carrying out analytics and metrics for chatbots; and most importantly monetizing models and business sense for chatbots. Build Better Chatbots is easy to follow with code snippets provided in the book and complete code open sourced and available to download. With Facebook opening up its Messenger platform for developers, followed by Microsoft opening up Skype for development, a new channel has emerged for brands to acquire, engage, and service customers on chat with chatbots. What You Will Learn Work with the bot development life cycle Master bot UX design Integrate into the bot ecosystem Maximize the business and monetization potential for bots Who This Book Is For Developers, programmers, and hobbyists who have basic programming knowledge. The book can be used by existing chatbot developers to gain a better understanding of analytics and the business side of bots.
Chatbots
| Author | : Michael Yuan |
| Publisher | : Addison-Wesley Professional |
| Total Pages | : 320 |
| Release | : 2017-02-03 |
| Genre | : Computers |
| ISBN | : 9780134650616 |
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Facebook, Amazon, Microsoft, and Slack are all investing heavily in intelligent bots, providing tools and platforms for building apps that serve users via natural conversation. Now, there's a practical guide to chatbot programming on these exciting new platforms: all the knowledge you need to start creating real solutions, and get ahead of the curve as the tools evolve and mature. Software development expert and entrepreneur Michael Yuan begins by introducing the powerful business case for chatbots and "Conversation as a Platform (CaaP)" Next, he introduces several pivotal technologies, including Facebook's Messenger; Slack's Hubot bot platform and its PHP-and-Java backend; Amazon's Alexa; and Microsoft's eagerly-anticipated Skype / Cortana bot platform. You'll learn how each of these platforms works, and how to use current tools to begin creating your own chatbot applications. Yuan covers key issues ranging from social media integration to scripted conversations, natural language enhancement, AI-based conversation, and conversation design -- even the use of humor and human scriptwriters. He also introduces a powerful framework for abstracting away native "glue code," so it's easier to move among platforms or write code for several of them at once.
Building an Enterprise Chatbot
| Author | : Abhishek Singh |
| Publisher | : Apress |
| Total Pages | : 399 |
| Release | : 2019-09-13 |
| Genre | : Computers |
| ISBN | : 1484250346 |
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Explore the adoption of chatbots in business by focusing on the design, deployment, and continuous improvement of chatbots in a business, with a single use-case from the banking and insurance sector. This book starts by identifying the business processes in the banking and insurance industry. This involves data collection from sources such as conversations from customer service centers, online chats, emails, and other NLP sources. You’ll then design the solution architecture of the chatbot. Once the architecture is framed, the author goes on to explain natural language understanding (NLU), natural language processing (NLP), and natural language generation (NLG) with examples. In the next sections, you'll design and implement the backend framework of a typical chatbot from scratch. You will also explore some popular open-source chatbot frameworks such as Dialogflow and LUIS. The authors then explain how you can integrate various third-party services and enterprise databases with the custom chatbot framework. In the final section, you'll discuss how to deploy the custom chatbot framework on the AWS cloud. By the end of Building an Enterprise Chatbot, you will be able to design and develop an enterprise-ready conversational chatbot using an open source development platform to serve the end user. What You Will LearnIdentify business processes where chatbots could be usedFocus on building a chatbot for one industry and one use-case rather than building a ubiquitous and generic chatbot Design the solution architecture for a chatbotIntegrate chatbots with internal data sources using APIsDiscover the differences between natural language understanding (NLU), natural language processing (NLP), and natural language generation (NLG) Work with deployment and continuous improvement through representational learning Who This Book Is ForData scientists and enterprise architects who are currently looking to deploy chatbot solutions to their business.
Conversational AI
| Author | : Andrew Freed |
| Publisher | : Simon and Schuster |
| Total Pages | : 318 |
| Release | : 2021-11-02 |
| Genre | : Computers |
| ISBN | : 1638351007 |
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"A thorough guide to the entire process of designing and implementing virtual assistants. Goes way beyond the technicalities." - Maxim Volgin, KLM 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
Developing Enterprise Chatbots
| Author | : Boris Galitsky |
| Publisher | : Springer |
| Total Pages | : 559 |
| Release | : 2019-04-04 |
| Genre | : Computers |
| ISBN | : 3030042995 |
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A chatbot is expected to be capable of supporting a cohesive and coherent conversation and be knowledgeable, which makes it one of the most complex intelligent systems being designed nowadays. Designers have to learn to combine intuitive, explainable language understanding and reasoning approaches with high-performance statistical and deep learning technologies. Today, there are two popular paradigms for chatbot construction: 1. Build a bot platform with universal NLP and ML capabilities so that a bot developer for a particular enterprise, not being an expert, can populate it with training data; 2. Accumulate a huge set of training dialogue data, feed it to a deep learning network and expect the trained chatbot to automatically learn “how to chat”. Although these two approaches are reported to imitate some intelligent dialogues, both of them are unsuitable for enterprise chatbots, being unreliable and too brittle. The latter approach is based on a belief that some learning miracle will happen and a chatbot will start functioning without a thorough feature and domain engineering by an expert and interpretable dialogue management algorithms. Enterprise high-performance chatbots with extensive domain knowledge require a mix of statistical, inductive, deep machine learning and learning from the web, syntactic, semantic and discourse NLP, ontology-based reasoning and a state machine to control a dialogue. This book will provide a comprehensive source of algorithms and architectures for building chatbots for various domains based on the recent trends in computational linguistics and machine learning. The foci of this book are applications of discourse analysis in text relevant assessment, dialogue management and content generation, which help to overcome the limitations of platform-based and data driven-based approaches. Supplementary material and code is available at https://github.com/bgalitsky/relevance-based-on-parse-trees
Empowering Organizations with Power Virtual Agents
| Author | : Nicolae Tarla |
| Publisher | : Packt Publishing Ltd |
| Total Pages | : 247 |
| Release | : 2021-08-13 |
| Genre | : Computers |
| ISBN | : 1801072221 |
Download Empowering Organizations with Power Virtual Agents Book in PDF, ePub and Kindle
Unleash the capabilities of Power Virtual Agents to provide actionable insights to your customers and employees using automated chatbot solutions Key FeaturesProvide instant customer support on your webpages using Power Virtual AgentsDiscover tips and techniques for the governance, administration, and deployment of chatbotsBuild conversational solutions for your web apps, public portals, and Teams environmentBook Description Power Virtual Agents is a set of technologies released under the Power Platform umbrella by Microsoft. It allows non-developers to create solutions to automate customer interactions and provide services using a conversational interface, thus relieving the pressure on front-line staff providing this kind of support. Empowering Organizations with Power Virtual Agents is a guide to building chatbots that can be deployed to handle front desk services without having to write code. The book takes a scenario-based approach to implementing bot services and automation to serve employees in the organization and external customers. You will uncover the features available in Power Virtual Agents for creating bots that can be integrated into an organization's public site as well as specific web pages. Next, you will understand how to build bots and integrate them within the Teams environment for internal users. As you progress, you will explore complete examples for implementing automated agents (bots) that can be deployed on sites for interacting with external customers. By the end of this Power Virtual Agents chatbot book, you will have implemented several scenarios to serve external client requests for information, created scenarios to help internal users retrieve relevant information, and processed these in an automated conversational manner. What you will learnGet to grips with Power Virtual Agents and understand the license requirement for using itDeploy bots on public websites or web pagesCreate conversational solutions for your organization using Microsoft TeamsExplore best practices for governance that are essential for implementing Power Virtual AgentsExplore different business scenarios for implementing Power Virtual AgentsUnderstand the integration between Power Virtual Agents and Microsoft Power PlatformWho this book is for This book is for organization representatives looking to automate processes, relieve the first-contact workload of their front-line agents, and provide actionable results to employees and customers. Business professionals, citizen developers, and functional consultants will also find this book helpful. Familiarity with the Modern Workplace and the Dynamics 365 family of products will be useful. Beginner-level knowledge of Power Platform and its main modules will assist with understanding the concepts covered in the book more effectively.
Head First Python
| Author | : Paul Barry |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 624 |
| Release | : 2016-11-21 |
| Genre | : Computers |
| ISBN | : 1491919493 |
Download Head First Python Book in PDF, ePub and Kindle
Want to learn the Python language without slogging your way through how-to manuals? With Head First Python, you’ll quickly grasp Python’s fundamentals, working with the built-in data structures and functions. Then you’ll move on to building your very own webapp, exploring database management, exception handling, and data wrangling. If you’re intrigued by what you can do with context managers, decorators, comprehensions, and generators, it’s all here. This second edition is a complete learning experience that will help you become a bonafide Python programmer in no time. Why does this book look so different? Based on the latest research in cognitive science and learning theory, Head First Pythonuses a visually rich format to engage your mind, rather than a text-heavy approach that puts you to sleep. Why waste your time struggling with new concepts? This multi-sensory learning experience is designed for the way your brain really works.
