how ai is made

How is AI made?

Artificial intelligence, or AI, has become a huge part of the technological world these days. You may have wondered many times how AI is made—that is, how AI is created. The process of creating AI is quite interesting and is divided into several stages.

First, engineers and data scientists collect data. To teach AI, it needs a large number of examples, such as images, text, voice, or video. Next, this data is cleaned and processed so that the AI ​​model receives accurate information.

Then, model selection occurs for AI. For example, if objects need to be recognized from a photo, specialized models like Convolutional Neural Networks (CNNs) are used. Such models are tried, tested, and trained multiple times. This involves repeatedly exposing the machine to data so it can learn what results to expect from a particular input.

Once a model has learned well enough, it is tested – with new data it didn't see during training. This testing is essential so that the AI ​​can generalize and solve real-life problems.

Finally, this AI model is implemented into an application or product – such as voice assistants, chatbots, or image search. Reliability, security, and updates are also taken into account.

Tip: You can also build small AI projects yourself using languages ​​like Python and free datasets. Kaggle Learn is the best platform for beginners!