Creating your own artificial intelligence , whether to use it in your business or to make it available to your customers. Represents an interesting development opportunity. Today, many digital tools allow you to create an AI without using a programming language. However, it is necessary to follow a few steps in order to design. and geared towards the objectives of its users.

Create your own artificial intelligence
What does it mean to create your own artificial intelligence?
Creating your own artificial intelligence means reproducing the schematization of an artificial neural network to develop a program capable of communicating with humans. More precisely, designing your own.  AI does not mean creating a new programming language, but relying on an existing language to create an application in a particular domain or for a specific use.

What is the basis of artificial intelligence

The foundation of any artificial intelligence system is the reproduction of an artificial neural network, within which algorithms are executed. These sweden number for whatsapp algorithms execute formulas whose role is to transform incoming data (transmitted by the human user) into outgoing data.

As it trains to communicate with human users or other artificial intelligences, AI strengthens its algorithms. These algorithms are then able to associate increasingly complex data together.


Can you create artificial intelligence without knowing how to code?

To design artificial intelligence, you don’t need to know how to code. Whatever the purpose of AI design (visual recognition, speech recognition or automated content creation ), you can use “  no-code  ” tools to develop your own program. Here are a few:


These programs or platforms allow you to develop an.  AI without having to write a single line of code. They usually have intuitive visual interfaces, based on the “  drag and drop  ” system to add, delete or modify.  The location of formulas and commands. Also, these tools can be used only in the test phase to


AI ​​training to a specific Cloud so as not to interfere


Design the dataset
As explained above, AIs operate a data set, between incoming and outgoing information. The goal of this third step is to anticipate as many data sets as Sad Life Box possible, i.e. to think of all the possible combinations between the data that the AI ​​will have to recognize and/or associate.

To do this, the operator in charge of AI training must gather a large amount of incoming data (usually several thousand, or even hundreds of thousands). Among these data, part will be used for the training phase (learning) of the AI, while another part will be used to test the AI.


Learning AI
An artificial intelligence becomes more efficient as it learns. This learning necessarily involves the transmission of a large amount of incoming data. After designing the dataset to be used, it is necessary to orient the learning towards what the AI ​​will be used for. Consequently, from this same dataset, the user shows the AI ​​where it should look for information and how it should transcribe it to adapt to human communication.


Let the program train
After learning comes a training phase that is distinct from the previous one. Indeed, after having “shown” the AI ​​what type of information it should look for and where it can find it, it is necessary to give the algorithms time to train themselves to calculate.




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