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Author: Jessica Zhu Publisher: ISBN: Category : Languages : en Pages : 0
Book Description
Smart assistants like Amazon's Alexa, Apple's Siri, and Google's Google Home have become commonplace in many people's lives, appearing in their phones and homes. Despite their ubiquity, these conversational AI agents still largely remain a mystery to many, in terms of how they work and what they can do. To lower the barrier to entry to understanding and creating these conversational AI agents for young students, I expanded on Convo, a conversational programming agent that can respond to both voice and text inputs. I created a simple and intuitive user interface for students to input training data, create programs, and test the conversational AI agents they create. To further assist anyone in using Convo, I also produced a couple of video and PDF tutorials that outline how to use Convo. Additionally, I also developed a curriculum to teach students about key concepts in AI and conversational AI in particular, including the Big 5 AI Ideas and the difference between constrained and unconstrained natural language models. I ran a 3-day workshop in partnership with MIT's eSPARK program, with a total of 15 participating middle school students. Through the data collected from the pre-and post-workshop surveys as well as a mid-workshop brainstorming session, I was able to explore how students' perceptions, understanding, literacy, and visions of conversational AI agents changed. During the workshop, students were able to create their own conversational AI agents. I also found that after the workshop, students tended to think that conversational AI agents were less intelligent than originally perceived, gained confidence in their abilities to build these agents, and learned some key technical concepts about conversational AI as a whole. Based on these results, I am optimistic about Convo's ability to teach and empower students to develop conversational AI agents in an intuitive way.
Author: Jessica Zhu Publisher: ISBN: Category : Languages : en Pages : 0
Book Description
Smart assistants like Amazon's Alexa, Apple's Siri, and Google's Google Home have become commonplace in many people's lives, appearing in their phones and homes. Despite their ubiquity, these conversational AI agents still largely remain a mystery to many, in terms of how they work and what they can do. To lower the barrier to entry to understanding and creating these conversational AI agents for young students, I expanded on Convo, a conversational programming agent that can respond to both voice and text inputs. I created a simple and intuitive user interface for students to input training data, create programs, and test the conversational AI agents they create. To further assist anyone in using Convo, I also produced a couple of video and PDF tutorials that outline how to use Convo. Additionally, I also developed a curriculum to teach students about key concepts in AI and conversational AI in particular, including the Big 5 AI Ideas and the difference between constrained and unconstrained natural language models. I ran a 3-day workshop in partnership with MIT's eSPARK program, with a total of 15 participating middle school students. Through the data collected from the pre-and post-workshop surveys as well as a mid-workshop brainstorming session, I was able to explore how students' perceptions, understanding, literacy, and visions of conversational AI agents changed. During the workshop, students were able to create their own conversational AI agents. I also found that after the workshop, students tended to think that conversational AI agents were less intelligent than originally perceived, gained confidence in their abilities to build these agents, and learned some key technical concepts about conversational AI as a whole. Based on these results, I am optimistic about Convo's ability to teach and empower students to develop conversational AI agents in an intuitive way.
Author: Michael McTear Publisher: Morgan & Claypool Publishers ISBN: 1636390323 Category : Computers Languages : en Pages : 253
Book Description
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: Andrew Freed Publisher: Simon and Schuster ISBN: 1638351007 Category : Computers Languages : en Pages : 318
Book Description
"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
Author: Jessica Raquelle Van Brummelen Publisher: ISBN: Category : Languages : en Pages : 195
Book Description
The world is becoming increasingly saturated with voice-first technology, such as Amazon Alexa and Google Home devices. As this technology becomes more complex, the skill set needed to develop conversational AI applications increases as well. This work bridges the gap, democratizes AI technology, and empowers technology consumers to become technology developers. In this thesis, I develop block-based Alexa Skill programming tools, enabling anyone -- even elementary school students -- to create complex conversational AI applications. During high school workshops, students created Alexa Skills to help others remember forgotten words, learn math concepts, ease recycling, and display Alexa’s speech on screen for those hard of hearing. Additionally, I developed a conversational AI curriculum and partnered with MIT’s High School Studies Program to provide workshops to the Boston community. We taught students about the capabilities, limitations, and implications of conversational AI, and explored research questions, such as "What do students believe, understand, and think about conversational agents?"; "Can students develop their own conversational AI applications?"; and "What do students envision for the future of conversational AI?" The results from a pre-workshop assessment suggested that despite not understanding how conversational agents worked, students could think of ways for conversational agents to solve problems. The post-workshop assessment suggested that through the workshops, students learned conversational AI and machine learning concepts; could identify capabilities and limitations of conversational agents; felt proud of their project development; were interested in developing their projects further; and were generally hopeful and excited about the future of conversational AI. Through this research, students learned about the power and limitations of AI, were empowered to solve real-world problems using AI, and developed socially useful conversational AI agent applications.
Author: Romil Rawat Publisher: John Wiley & Sons ISBN: 1394200781 Category : Computers Languages : en Pages : 804
Book Description
This book reviews present state-of-the-art research related to the security of cloud computing including developments in conversational AI applications. It is particularly suited for those that bridge the academic world and industry, allowing readers to understand the security concerns in advanced security solutions for conversational AI in the cloud platform domain by reviewing present and evolving security solutions, their limitations, and future research directions. Conversational AI combines natural language processing (NLP) with traditional software like chatbots, voice assistants, or an interactive voice recognition system to help customers through either a spoken or typed interface. Conversational chatbots that respond to questions promptly and accurately to help customers are a fascinating development since they make the customer service industry somewhat self-sufficient. A well-automated chatbot can decimate staffing needs, but creating one is a time-consuming process. Voice recognition technologies are becoming more critical as AI assistants like Alexa become more popular. Chatbots in the corporate world have advanced technical connections with clients thanks to improvements in artificial intelligence. However, these chatbots’ increased access to sensitive information has raised serious security concerns. Threats are one-time events such as malware and DDOS (Distributed Denial of Service) assaults. Targeted strikes on companies are familiar and frequently lock workers out. User privacy violations are becoming more common, emphasizing the dangers of employing chatbots. Vulnerabilities are systemic problems that enable thieves to break in. Vulnerabilities allow threats to enter the system, hence they are inextricably linked. Malicious chatbots are widely used to spam and advertise in chat rooms by imitating human behavior and discussions, or to trick individuals into disclosing personal information like bank account details.
Author: Kevin Weng (M. Eng.) Publisher: ISBN: Category : Languages : en Pages : 111
Book Description
The emergence of voice-based technology and voice assistants has paved the way for new opportunities to democratize learning computational thinking and programming skills, especially for people who do not have access to the traditional programming experience, due to external circumstances or disabilities. In this thesis, I created Convo, a voice-first conversational programming system that allows users to create programs and develop programming skills simply through natural interactions and conversations with a programming agent and voice feedback. Additionally, I conducted a user study to study the effectiveness of voice-first conversational programming systems like Convo as well as receive user feedback to explore the design needs of such systems. The user study involved forty-five participants ranging from fourteen to sixty-five years old completing tasks in Convo using and comparing three different input modalities - using just voice inputs; using just text inputs; and using both voice and text inputs. The participants answered questions about their experiences with each input modality and general feedback on conversational programming systems. Results showed that participants have preference towards text and found voice-based programming the most difficult to use among the three input modalities. However many participants, especially those new to programming, saw the value and future potential of voice-based programming, especially when speech recognition becomes more accurate. Additionally, I created design recommendations based on the results for conversational programming systems, including being flexible and accessible, reducing cognitive load and improving speech recognition and natural language understanding.
Author: Akhil Mittal Publisher: BPB Publications ISBN: 9388511891 Category : Computers Languages : en Pages : 161
Book Description
A complete guide to build a better Chatbots DESCRIPTION This book makes you familiar with the concept of the chatbot. It explains what chatbot is, how does a chatbot work, and what exactly is the need for a chatbot in todayÕs era? It focuses on creating a bot using AmazonÕs Lex service and getting the bot deployed on Facebook messenger for live chatting. This book will train you on how to create a chatbot using GoogleÕs Dialogflow and test the bot in Dialogflow console. It also demonstrates how to create a custom chatbot using MicrosoftÕs bot framework and enable the webhooks in Dialogflow and return the response from the custom bot to Dialogflow intents as a fulfilment response. KEY FEATURES Concept of artificial intelligence (AI) and machine learning How AI is involved in creating chatbots What are chatbots Chatbot development Live chatting Create chatbot with technologies such as Amazon Lex, Google Dialogflow, AWS Lambda, Microsoft Bot Framework, and Azure Deploy and talk to your bot WHAT WILL YOU LEARN Learn the concept of chatbot Learn how chatbots and AI work hand in hand Learn the concept of machine learning in chatbots Get familiar with chatbot services such as AmazonÕs Lex and GoogleÕs Dialogflow Learn how to write an AWS Lambda function Learn what webhooks are Learn about MicrosoftÕs Bot Framework Write your own custom chatbot Deploy the chatbot on Facebook Messenger, Google Assistant, and Slack Live chatting with your own chatbot WHO THIS BOOK IS FOR The developers, architects, and software/technology enthusiasts who are keen to learn the cutting-edge technologies and want to get a hands-on experience on AI by creating their own custom chatbots. Organizations, small companies, service-based/product-based setups which want to learn how to create a basic chatbot on their website and on social media to get more leads and reach to the end user for their business. Students, if they are seeking something where they can create and integrate the real-time chatbots in their projects. Table of Contents Section 1: The Concept 1. What are Chatbots? 2. How Chatbot Works 3. What is the Need for a Chatbot? 4. Conversational Flow? Ê Section 2: Creating a Chatbot Using Amazon Lex 1. Amazon Lex and AWS Account 2. Create Bot Using Amazon Lex 3. AWS Lambda Function 4. Slots 5. Error Handling 6. Deploy the Bot on Facebook Messenger 7. Live Chatbot on Facebook Ê Section 3: Creating a Chatbot Using Dialogflow API and MicrosoftÕs Bot Framework Technical Requirements 1. Dialogflow Account 2. Creating a Bot in Dialogflow 3. Dialogflow Console 4. Integrating the Bot with Slack 5. Chatbot Using Microsoft Bot Framework 6. Publishing the Bot from Visual Studio to Azure 7. Register the Bot 8. Dialogflow.v2 SDK 9. Webhooks in Dialogflow 10. Ê Testing the Bot 11. Ê Deploy the Chatbot in Facebook Messenger 12. Ê Live Chatbot on Facebook 13. Ê Deploy the Chatbot in Slack
Author: Andrew Freed Publisher: Simon and Schuster ISBN: 1617298832 Category : Computers Languages : en Pages : 318
Book Description
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: Michael McTear Publisher: Springer ISBN: 3319329677 Category : Technology & Engineering Languages : en Pages : 431
Book Description
This book provides a comprehensive introduction to the conversational interface, which is becoming the main mode of interaction with virtual personal assistants, smart devices, various types of wearable, and social robots. The book consists of four parts. Part I presents the background to conversational interfaces, examining past and present work on spoken language interaction with computers. Part II covers the various technologies that are required to build a conversational interface along with practical chapters and exercises using open source tools. Part III looks at interactions with smart devices, wearables, and robots, and discusses the role of emotion and personality in the conversational interface. Part IV examines methods for evaluating conversational interfaces and discusses future directions.
Author: Jessica Zhu
Author: Jessica Zhu
Author: Michael McTear
Author: Michael McTear
Author: Andrew Freed
Author: Jessica Raquelle Van Brummelen
Author: Romil Rawat
Author: Kevin Weng (M. Eng.)
Author: Akhil Mittal
Author: Andrew Freed
Author: Michael McTear