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Adding a Natural Language Interface to Your Application
In this article, author Ashley Davis discusses how to add a natural language interface to a chatbot application using OpenAI REST API. He also shows how to extend the chatbot by adding voice commands using MediaRecorder API and OpenAI's speech transcription API.
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AI, ML, and Data Engineering InfoQ Trends Report—August 2022
In this annual report, the InfoQ editors discuss the current state of AI, ML, and data engineering and what emerging trends you as a software engineer, architect, or data scientist should watch. We curate our discussions into a technology adoption curve with supporting commentary to help you understand how things are evolving.
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Is Artificial Intelligence Closer to Common Sense?
Intelligent agents lack the common-sense knowledge they need to reason about the world. Traditionally, there have been two unsuccessful approaches to getting computers to reason about the world—symbolic logic and deep learning. A new project, called COMET, tries to bring these two approaches together. Although it has not yet succeeded, it offers the possibility of progress.
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Building Intelligent Conversational Interfaces
Authors discuss how to build intelligent conversational applications and skills using the conversational AI technology and its three components: interaction flow, natural language understanding (NLU) and deployment.
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Using Intel Analytics Zoo to Inject AI into Customer Service Platform (Part II)
This article shares the practical experience of building a QA ranker module on Azure’s customer support platform using Intel Analytics Zoo by Microsoft Azure China team. You can quickly learn step by step how to prepare data to train, evaluate and tune a text matching model at scale and finally productionize it as a service using Analytics Zoo.