Problem Statement Nowadays, it’s quite common to add a “virtual assistant” (a.k.a chatbot) to your public facing website. Almost every organization, especially the ones dealing with endusers (B2C market-oriented organizations) try to add value to their websites in form of a bot. And Microsoft has done a pretty good job, making it easy to build a bot, with little effort and almost no coding. But unfortunately, there is not a complete guide provided, on how to create the bot from the very first click until it can be deployed on to a public website.
General Limits So as I work a lot with one of the most common used Cognitive Services when developing a bot, the QnA Maker, I wanted to share some insights in terms of limits of the QnA Maker as I detected some things by now. So if you have never seen it before, this docs article outlines the various limits you need to have in mind when working with the QnA Maker.
I’m super excited to announce something I have been building for a couple of months now. I teamed up with Matt Wade and Niels Gregers Johansen who are the initiators of the Periodic Table of Office 365 to build the Periodic Table of Azure Cognitive Services. This table should help to understand which Cognitive Services are currently out there, including the following: Categorization Preview status indicators Links to the product pages As this is the first version for this kind of table, there will be more features in later releases, including description pages.
In the “jungle” of documentation and resources on the internet nowadays, it’s tough to keep the overview and know where to look for in order to seek new information about certain topics. Microsoft is now trying to unify the documentation across their products in order to have 1 place to go for. But until that is fully established, we need to conduct multiple resources. To overcome this issue in the field of the Azure Bot Service, I already released a resource cheat sheet in order to have all important sources in your pocket.
“Copy, paste… Bot!” - This is the slogan of the QnAMaker.ai service, which is one of the Cognitive Services in the knowledge category. This service offers a very easy-to-use toolset for creating, populating and publishing knowledgebases for FAQs which can be consumed by the Azure Bot Service very easy to build smart QnA Bots in a very short period of time. As the creation of such a QnAMaker knowledgebase is straightforward, the following infographic should help illustrate the process of creating, populating, testing and publishing a KB through the QnAMaker service.
A couple of months ago, I did a post about the Microsoft Cognitive Services with an infographic attached in order to better understand the various services and offerings in that area. Now a couple of months later, some things changed in that field, especially the offerings and the services (some disappeared, some have been merged and some appeared). Therefore, I updated my infographic in order to reflect the current services which are available:
With the announcement of the GA status of the Language Understanding Intelligent Service a couple of weeks ago, I was thinking about how to easily enable people in using this awesome Cognitive Service. I was asked many times on how to easily use that service but I faced a lot of open questions and confusion. That’s why I decided to create a cheat sheet to illustrate the process of creating, training and publishing a LUIS model in order to use it within a Bot or other apps which should act intelligent and understand the human language.
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