Join Us | Newsletter : https://buymeacoffee.com/marlonbonajos/membership

Try this | 7 Days Challenge : https://tinyurl.com/7-Days-Challenge

Ai: Training with Made-Up Data: The Basics

Description:

Imagine you want to teach a computer (AI) how to recognize pictures of cats.

Normally, you'd show it lots of real cat pictures. But what if you don't have enough pictures, or some pictures have private info you can't use? This is where synthetic data comes in.

Synthetic data is basically fake data that's made up by computers using special programs.

It's designed to look and act just like real data, like making up lots of pictures of cats that look real but aren't actual photos. Companies are using this more and more to train their AI. It's helpful because it can be cheaper and faster to create than collecting real data.

Plus, it's great for privacy, especially in areas like healthcare or finance, because you don't have to use real, sensitive information about people. You can make tons of this fake data to teach AI a lot.

However, there are problems. If the fake data isn't made perfectly or is too simple, the AI trained on it can get confused.

It might start making up false information, like "hallucinations," or its performance could drop. It's like teaching someone with a textbook that has mistakes – they might learn the mistakes too. Even with these challenges, experts think synthetic data will be the main type of data used to train

AI by the year 2030. So, while it's super useful for AI, it's important to make sure the fake data is really good quality