This unit includes a lab to complete. Use the free resources provided in the lab to complete the exercises in this unit. You will not be charged for the lab environment; however, you may need to bring your own subscription depending on the lab. Microsoft provides this lab experience and related content for educational purposes. All […]
You can develop an application that uses Azure AI services using REST interfaces, but it’s easier to build more complex solutions by using native libraries for the programming language in which you’re developing the application. Bạn có thể phát triển một ứng dụng sử dụng các dịch vụ AI của Azure thông qua các giao […]
Azure AI services provide REST application programming interfaces (APIs) that client applications can use to consume services. In most cases, service functions can be called by submitting data in JSON format over an HTTP request, which may be a POST, PUT, or GET request depending on the specific function being called. The results of the […]
When you provision an Azure AI services service resource in your Azure subscription, you are defining an endpoint through which the service can be consumed by an application. Khi bạn cung cấp (provision) một tài nguyên dịch vụ AI của Azure (an Azure AI services service resource) trong đăng ký Azure của mình (your Azure […]
Azure AI services include a wide range of AI capabilities that you can use in your applications. To use any of the AI services, you need to create appropriate resources in an Azure subscription to define an endpoint where the service can be consumed, provide access keys for authenticated access, and to manage billing for […]
Azure AI services are cloud-based services that encapsulate AI capabilities. Rather than a single product, you should think of AI services as a set of individual services that you can use as building blocks to compose sophisticated, intelligent applications. AI services includes a wide range of individual services across multiple categories, as shown in the following […]
Check your knowledge 1. Which of the following best describes the predictions made by a machine learning model? a. Absolutely correct values based on conditional logic. b. Randomly selected values with an equal chance of selection. c. Probabilistic values based on correlations found in training data. 2. A data scientist has used Azure Machine Learning to train a machine […]
(Source: https://learn.microsoft.com/en-us/training/modules/create-question-answer-solution-ai-language/1-introduction) A common pattern for “intelligent” applications is to enable users to ask questions using natural language, and receive appropriate answers. In effect, this kind of solution brings conversational intelligence to a traditional frequently asked questions (FAQ) publication. In this module, you will learn how to use Azure AI Language to create a knowledge base […]
(Source: https://learn.microsoft.com/en-us/training/modules/analyze-text-ai-language/10-summary) In this module, you learned how to use Azure AI Language to: To learn more about Azure AI Language and some of the concepts covered in this module, you can explore the following: Trong mô-đun này, bạn đã học cách sử dụng Azure AI Language để: Để tìm hiểu thêm về Azure AI Language […]
(Source: https://learn.microsoft.com/en-us/training/modules/analyze-text-ai-language/9-knowledge-check) 1. How should you create an application that monitors the comments on your company’s web site and flags any negative posts? A. Use the Azure AI Language service to extract key phrases. B. Use the Azure AI Language service to perform sentiment analysis of the comments. C. Use the Azure AI Language service to extract […]
