![]() Note that the cities are automatically detected as geographyV2 entities. Add at least 5 sample utterances for this intent. An intent represents what our users are asking for, such as booking a hotel room, looking for a product, or requesting the weather conditions for a specific city. An entity represents a part of the text that will be identified (for instance, a city) ![]() Add the geographyV2 prebuilt entity to the project. In order to create a smart language processing model, we need to train it before by feeding it with examples (utterances) It is part of the Microsoft AI Platform and allows us to identify user's intentions and key elements from their messages. LUIS stands for Language Understanding Intelligent Service. LUIS (Language Understanding Intelligent Service). ![]() In short, we will be using three technologies: And we can infuse intelligence in the reply by connecting it to a LUIS model for natural language processing. This means that an Azure Function will be triggered every time a user sends a message to this number. So, how can we tackle this problem? Azure Functions to the rescue! We can simplify things by creating a serverless code that is connected to a WhatsApp number through webhooks. And our customers would love to communicate with our apps through this messenger application. WhatsApp, the most popular messenger app with 1.6 billion monthly users as of July 2019 is a notable example. However, some channels are not currently available in the Azure Bot Service offer. Add Azure Bot Service to the equation and you'll have a bot connected to the cloud which can be inserted in several channels, such as Skype, Microsoft Teams, Facebook Messenger and even to your website through the WebChat channel with very few configuration steps. Without being an AI-expert, you can develop and deploy conversational bots which interact with your users and process their needs. Microsoft provides two key technologies, LUIS and Bot Framework to develop and create bots the easy way. ![]() They are important nowadays as they can be used for repetitive, time-consuming tasks in effective ways, allowing companies to focus in other activities and optimize resources (especially human resources). They are able to detect users' intentions by extracting keywords from their messages and then provide an appropriate response to their requests. Ĭhatbots are AI software capable of interacting with users in natural language. New articles are published every day - that's right, every day - from community members and cloud advocates in the month of September.įind out more about how Microsoft Azure enables your Serverless functions at. You'll find other helpful articles, detailed tutorials, and videos in this all-things-Serverless content collection. This article is part of #ServerlessSeptember. ![]()
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