AI-900: How to Use Conversational AI for Interactive Question Answering

Learn how to use conversational AI to create an application that can answer questions entered by a user interactively. Find out what conversational AI is and how it differs from other types of AI solutions.

Question

HOTSPOT (Drag & Drop is not supported)
To complete the sentence, select the appropriate option in the answer area.

The interactive answering of questions entered by a user as part of an application is an example of __________.

A. anomaly detection.
B. computer vision.
C. conversational AI / natural language processing.
D. forecasting.

Answer

C. conversational AI / natural language processing.

Explanation

With Microsoft’s Conversational AI tools developers can build, connect, deploy, and manage intelligent bots that naturally interact with their users on a website, app, Cortana, Microsoft Teams, Skype, Facebook Messenger, Slack, and more.

The correct answer is C. conversational AI / natural language processing.

Conversational AI is the branch of artificial intelligence that enables machines to understand, process, and generate natural language. Natural language processing (NLP) is the subset of conversational AI that deals with the analysis and manipulation of natural language text or speech. NLP enables applications to perform tasks such as sentiment analysis, text summarization, machine translation, named entity recognition, and more.

An interactive answering of questions entered by a user as part of an application is an example of conversational AI / NLP because it involves the following steps:

• The application receives the user’s question as an input, either in text or speech form.
• The application uses NLP techniques to parse, tokenize, and understand the meaning and intent of the question.
• The application uses NLP techniques to search for relevant information from a knowledge base or a web source that can answer the question.
• The application uses NLP techniques to generate a natural language response that answers the question and provides additional information or clarification if needed.
• The application sends the response back to the user, either in text or speech form.

Some examples of applications that use conversational AI / NLP to answer questions are:

• Chatbots: Chatbots are software agents that can converse with users via text or voice, usually on a specific topic or domain. Chatbots can provide customer service, product recommendations, booking services, and more. For example, [Expedia] has a chatbot that can help users book flights, hotels, and car rentals by answering their questions and providing options.
• Virtual assistants: Virtual assistants are software agents that can perform various tasks for users by understanding their voice or text commands. Virtual assistants can provide information, entertainment, reminders, navigation, and more. For example, [Cortana] is a virtual assistant that can answer questions, make suggestions, and perform actions for users across different devices and platforms.
• Question answering systems: Question answering systems are software systems that can answer factual questions posed by users in natural language. Question answering systems can use structured or unstructured data sources to find the answers. For example, [Bing] has a question answering feature that can provide direct answers to users’ queries on various topics, such as sports, weather, celebrities, and more.

Reference

Microsoft Conversational AI tools enable developers to build, connect and manage intelligent bots

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Microsoft Azure AI Fundamentals AI-900 exam and earn Microsoft Azure AI Fundamentals AI-900 certification.