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powerful AI models like 10gbt or Dali are super useful and fun to use but what when they are wrong what if they lie to you without even knowing they are lying often called hallucinations these problems can be very harmful especially when we blindly trust the AI we should be able to trace back and explain how those AI models make decisions and generate results to illustrate this letamp;#39;s look at a very simple example we are a research scientist aiming to build a model able to classify images which means identifying what is the main object in the image you gather a couple of images of different objects and train an algorithm to understand what makes a cat a cat a dog a dog Etc you now expect your model to be able to identify those objects from a picture and publish it on your website for anyone to use before doing so you test it just to make sure it performs well here we see the model is pretty accurate it actually found that there were images of animals and more precisely it even f
