 |
5 books on Conversational AI [PDF]
October 28, 2024 | 30 |
Books on Conversational AI explain such technologies as natural language understanding, dialogue management, voice recognition , sentiment analysis that help to create chatbots, virtual assistants, and other conversational agents.
1. Conversational AI: Dialogue Systems, Conversational Agents, and Chatbots
2022 by Michael McTear
From this book, I found out that there are three main approaches to building dialogue systems: rule-based, data-driven and neural systems. Machine learning and statistical approaches are key in modern dialogue system development. Besides, evaluation metrics and frameworks play a crucial role in assessing dialogue system performance. There are also multimodal systems that combine voice and visual data. But we still need to remember about ethical considerations that are integral to Conversational AI development, especially in human-AI interactions.
Download PDF
2. Conversational AI: Chatbots that Work
2021 by Andrew Freed
Andrew Freed explains why sourcing high-quality training data is critical for creating effective chatbots. He also describes the design principles behind AI systems that impact their conversational capabilities. Practical methodologies for testing and refining chatbots are essential for their success. It is possible to design voice assistants that can handle full call center operations. But evaluating chatbot performance requires specific metrics and user-focused feedback.
Download PDF
3. ChatGPT Millionaire Mindset: Transforming Your Wealth with Conversational AI
2021 by Shu Chen Hou
In this book you'll learn how Conversational AI can be applied to personal finance management and investment guidance. But ChatGPT is not a golden bullet, you also need the "millionaire mindset" that involves setting clear financial goals and taking calculated risks. Integrating a positive mindset with AI can enhance wealth-building efforts. Mindset coaching through AI can help you focus on long-term wealth accumulation. Conversational AI can also act as a mentor for entrepreneurs seeking financial success.
Download PDF
4. Conversational AI with Rasa: Build, test, and deploy AI-powered, enterprise-grade virtual assistants and chatbots
2021 by Xiaoquan Kong, Guan Wang, Alan Nichol
Rasa NLU and Rasa Core are foundational components for building chatbots. Their form-based dialogue management helps manage complex interactions in chatbots. Conversation-driven development helps refine chatbot interactions through real-time feedback. Response selectors can handle FAQs and casual conversations effectively and knowledge base actions enable chatbots to answer dynamic, context-based queries.
Download PDF
5. The Definitive Guide to Conversational AI with Dialogflow and Google Cloud: Build Advanced Enterprise Chatbots, Voice, and Telephony Agents on Google Cloud
2021 by Lee Boonstra
Google's Dialogflow can be used to build cross-channel chatbots for web, social media and telephony while other Google Cloud tools like BigQuery and Chatbase are used for chatbot analytics and optimization. Dialogflow SDK and Google Cloud APIs can be used to build highly customizable voice platforms and chatbots that operate across different languages. But context management, intents and entities are critical in designing advanced conversational agents.
Download PDF
How to download PDF:
1. Install Google Books Downloader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
1. Conversational AI: Dialogue Systems, Conversational Agents, and Chatbots
2022 by Michael McTear
From this book, I found out that there are three main approaches to building dialogue systems: rule-based, data-driven and neural systems. Machine learning and statistical approaches are key in modern dialogue system development. Besides, evaluation metrics and frameworks play a crucial role in assessing dialogue system performance. There are also multimodal systems that combine voice and visual data. But we still need to remember about ethical considerations that are integral to Conversational AI development, especially in human-AI interactions.
Download PDF
2. Conversational AI: Chatbots that Work
2021 by Andrew Freed
Andrew Freed explains why sourcing high-quality training data is critical for creating effective chatbots. He also describes the design principles behind AI systems that impact their conversational capabilities. Practical methodologies for testing and refining chatbots are essential for their success. It is possible to design voice assistants that can handle full call center operations. But evaluating chatbot performance requires specific metrics and user-focused feedback.
Download PDF
3. ChatGPT Millionaire Mindset: Transforming Your Wealth with Conversational AI
2021 by Shu Chen Hou
In this book you'll learn how Conversational AI can be applied to personal finance management and investment guidance. But ChatGPT is not a golden bullet, you also need the "millionaire mindset" that involves setting clear financial goals and taking calculated risks. Integrating a positive mindset with AI can enhance wealth-building efforts. Mindset coaching through AI can help you focus on long-term wealth accumulation. Conversational AI can also act as a mentor for entrepreneurs seeking financial success.
Download PDF
4. Conversational AI with Rasa: Build, test, and deploy AI-powered, enterprise-grade virtual assistants and chatbots
2021 by Xiaoquan Kong, Guan Wang, Alan Nichol
Rasa NLU and Rasa Core are foundational components for building chatbots. Their form-based dialogue management helps manage complex interactions in chatbots. Conversation-driven development helps refine chatbot interactions through real-time feedback. Response selectors can handle FAQs and casual conversations effectively and knowledge base actions enable chatbots to answer dynamic, context-based queries.
Download PDF
5. The Definitive Guide to Conversational AI with Dialogflow and Google Cloud: Build Advanced Enterprise Chatbots, Voice, and Telephony Agents on Google Cloud
2021 by Lee Boonstra
Google's Dialogflow can be used to build cross-channel chatbots for web, social media and telephony while other Google Cloud tools like BigQuery and Chatbase are used for chatbot analytics and optimization. Dialogflow SDK and Google Cloud APIs can be used to build highly customizable voice platforms and chatbots that operate across different languages. But context management, intents and entities are critical in designing advanced conversational agents.
Download PDF
How to download PDF:
1. Install Google Books Downloader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
