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The integration of artificial intelligence into web applications is currently extremely popular.
From customer support chatbots to AI-powered matchmaking on brokerage platforms,
AI unleashes its full power and efficiency in solving problems directly within applications.
Even banks are now equipping their applications with AI, not only to detect fraud or money laundering,
but also for customer assistance, investment risk assessment, and much more.
For this reason, knowing how to integrate artificial intelligence is becoming increasingly important for us programmers.
This clearly means knowing the models—both commercial and open-source—in order to understand which one is best suited to the task you want it to perform.
Furthermore, it is essential to have a good understanding of the companies that develop, maintain, and provide these models,
so that you can keep up with the industry and avoid unpleasant surprises.
You should also keep an eye on the release of new, more powerful and higher-performing models that could benefit your program.
AI integration is not merely a way to allow our application to follow the latest trend,
but a way to enhance its ability to fulfill the original purpose of computer science: solving problems.