With new developments in AI, we now have the opportunity to design more sophisticated bots capable of understanding natural language commands and adapting to changing situations. This article shows how AI is evolving, helping companies to develop more robust chatbots for various industries.
But first, let’s talk about Bots V3.
This version of the bot is basically a “full-stack” type of bot. The bot is to do a lot of things itself, rather than have you do them for it.
The user, however, can request the bot to do things for it as well. And this is where the bots (and their interactions) get a bit more complicated. But we’ll get to that later.
The user requests are processed by an app server, which then forwards them to the middleware server. It then sends it to the database server and then finally the database server sends it back to the middleware server, where it is then sent back to your application server. All this is done in a matter of microseconds.
The database
The database server uses SQL Server and has a 5-second timeout in case it can’t connect to the database. If this happens, it tries again after one second and up until it gets a connection or reaches the timeout again (in which case it stops trying). This is to ensure that we don’t leave our application idle while waiting for data from the database or vice versa, which is something you want to avoid at all costs in a bot.
How different is Bots V3 from other bots?
Bot V3 is a bit different from most other bots because while it may have a few commands, it will try to understand the context of your conversation and act accordingly. For example, if you ask it to greet you, it might ask you what your name is. Or you can tell it “goodbye” and stop talking with it.
Another example is that if you tell it you don’t want to talk anymore, it will stop interacting with you. But if you tell it something else like “tell me something funny” then it will do that. These are just some examples of how our bot works and we hope that they illustrate how we are capable of designing more sophisticated bots capable of adapting to the conversation.
And this is a major difference between our bot and others. The major challenge in doing this is not just having the right data but also understanding context and behavior since there are millions of people interacting with our bot on a daily basis. And what may sound right to one person may not sound right to another.
But we have overcome this challenge by using a combination of algorithms and machine learning techniques as well as employing people who know the Arabic language very well and can use their experience to create better algorithms and adapt them as needed.
So Why Bots V3?
As mentioned earlier, there are many bots out there that can do simple tasks for us such as telling us the weather or even ordering us things from Amazon and other e-commerce websites. But none of these can do all that we want them to do or understand how we want them to talk or behave with us in any given situation or topic.
This is where our bot comes in. It can do a lot of things for us such as scheduling appointments for us, telling us about products and services we might have interested in, etc. But, more importantly, its behavior can change depending on the context of a conversation or even based on what the user says (basically what keywords they use).
This means that if the user says “I need an appointment tomorrow at 3 pm” then the bot will schedule an appointment at 3 pm. But if the user says “I need an appointment tomorrow at 3 pm in Dubai” then it will schedule an appointment in Dubai at 3.