How AI Works

Step 1: Data Input

The first thing you have to do to train an AI is to give it information to learn from. This information can be pictures, text, or any other types. The better and more information you give the AI, the better it will learn and make connections.

However, before you get data, you have to know what you want the AI to do. If you give it irrelevant information, it won’t help the AI learn and produce the desired output.

If you are using a public database, you’ll need to make sure it is good, complete, and accurate data.

Sometimes, the data will need to be labeled with what the AI should produce when it gets that image/text and has to tell you the output.

Side Note:

A lot of the time, the first two steps are done multiple times to create a really large and accurate data set, and more training to become more accurate to predict what the desired output should be.

Step 2: Processing

Once the AI has the data it needs, it processes that data using Machine Learning and learns to find and identify patterns, relationships, and other features it can use to make predictions between the data it has. It does this over and over again to get more consistent, and the more pictures it has helps it get more and more accurate.

Step 3: Testing & Output

The output is created by using the information and patterns recognized in the processing phase and forming the output based ib the conclusions used with the Machine Learning. The output can take many different forms, such as text, images, predictions, etc. When you have finished the first two steps, you can test your AI by giving it a prompt it hasn’t seen before, and seeing what it produces. If the output is correct, perfect! You can test your AI more, or leave it how it is and use it for future projects. If your AI produced an incorrect output, then you can go back to give it data and let it process more.

Summary

So now you should now have learned the basics of how AI works: Data Input, Processing, along with Testing and Output. The diagrams hopefully have helped a little bit, and you know how each phase works. Data Input is all about giving your AI a lot of relevant, helpful, data information to build off of. Processing is about the AI recognizing patterns and relationships in the information and data it was given, so it is ready to form an output with reasoning, which brings us to our last step, Testing & Output. Testing and Output is to help you test your AI, and shows that the output it’s giving is based on the reasoning from the Processing phase, and can give you helpful information in the future.