Post by Ndubuisi Raphael Agua (@nura23tech)
Good evening, tribe and welcome to:.
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In the previous episodes, we have talked about what AI is and some of the things AI can do, but hereβs a very important question:
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Letβs keep it very simple. AI learns from data. Data can be pictures, text, numbers, sounds, videos, or other information.
For example, if we want an AI to recognize a cat, we can show it many pictures of cats. As it studies these examples, it starts to notice patterns. It may learn that cats often have certain shapes, ears, eyes, fur, and other features. Then, when it sees a new picture, it can use those patterns to make a prediction.
π± βThis is a cat.β
AI predictions can be very accurate, but they are not always correct because their accuracy depends on the quality of the data and how well the AI was trained.
So, the basic idea is this:
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But thereβs more to it. AI doesnβt just magically βknowβ things. In using data, it is a way to learn from that data and a way to improve when its results are not good enough. This then this leads us to the next big question:
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Thatβs where weβre going next. π
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Learn β’ Build β’ Grow β’ Earn
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