How to Simplify Your Life with Artificial Intelligence

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sadiksojib35
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Joined: Thu Jan 02, 2025 7:12 am

How to Simplify Your Life with Artificial Intelligence

Post by sadiksojib35 »

Instead of conclusions
Neural networks will not replace humans. And there are no useless professions. Rather, useless personnel will be replaced by useful ones. That is, employees who will master neural networks as a mechanism for helping to solve everyday problems. The same thing once happened with those who mastered conditional Excel tables versus those who decided not to work with a PC.

In order not to be left on the margins of the labor ma india telegram database rket, you will have to master neural networks - this is true. It is unlikely that in the near future there will be promt engineers who will "tune" neural networks. Writing promts will become a standard skill.


Working with a neural network is a way to make a specialist's work easier, not to displace him. It is necessary to pump up the intellectual muscle in the same way as 100-200 years ago. The difference is that in the 21st century, it is important to adapt such "sport" to social digitalization.

But let's get back to the riddle. The correct answer is 2. But the logic of the solution is not quite trivial. The numbers next to the animals indicate the number of letters in the sounds they make: a dog says "woof" - 3 letters, a cow says "moo" - 2 letters, a rooster says "cock-a-doodle-doo" - 8, etc. But here's how you can make the neural network give the correct answer:



The riddle demonstrates all the main "failures" of neural networks, while simultaneously showing that if you understand where and why these "failures" came from, you can bypass them or use them to your advantage. The first answer shows that the neural network is super-executive, and therefore tries to solve the problem at all costs. Including incorrectly. It tries to count tails, ears. It turns out nonsense.

But it is worth adding a few important details to the prompt (in this case, about language and age), explaining how to approach solving such problems in general, and the neural network will give an answer to almost any riddle.
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