Algorithm

a procedure for solving a mathematical problem (as of finding the greatest common divisor) in a finite number of steps that frequently involves repetition of an operation
broadly : a step-by-step procedure for solving a problem or accomplishing some end.

Merriam-Webster

What Are Algorithms?

Algorithm is a short or long list of instructions. Like a manual on how to assemble an IKEA wardrobe. Or an itinerary on how to get to the cinema. Or multiple lines of code in a program to solve a task, like print your CV for a job application.
Algorithms are so essential in life that we can hardly recognize their existence in our daily routine, but they are still there.
If we use algorithms more intentionally, our problem-solving ability improves drastically.

An algorithm is a set of instructions that solves a problem step by step.

Because it sounds very technical, we might think algorithms belong only to the computer world. But algorithms are everywhere, in both the physical and virtual worlds.
We use algorithms to solve problems every day, often without realizing it.

Let me explain with some examples.

An algorithm is a list of tasks or instructions designed to solve a specific problem or complete a particular task.
When I speak of tasks or problems, these could be ordinary ones, like a morning routine:
– Get up
– Go to the bathroom
– Brush your teeth
– Wash your face
– Get dressed
– And so on…

Or consider baking pancakes: you open your favorite cookbook, search for the pancake recipe, and follow the instructions. Actually, in this example you’re using two algorithms:
– First, the algorithm for finding the recipe
– Second, the algorithm for following that recipe

Here’s another example: when you order a meal at a restaurant, you simply name the dish you want. Your algorithm ends here. You don’t need to give a detailed instructions about which ingredients to use or how to cook the meal. The chef uses their own algorithm to prepare your food.

The apps and computer programs contain huge amounts of algorithms working behind the scenes.
When you tap the green button in a messenger app, one algorithm starts running and opens a new chat window.
When you tap the blue “Send” button, a different algorithm executes and sends your message to your friend, displays it on your screen with an extra information like ‘Sent at 10:25’, and finally clears the chat window.

This is where things get interesting, and a bit tricky.
When you give instructions to AI, it will try to help, but unlike traditional algorithms, almost no one (not even the AI’s creators) knows exactly what steps it takes or why it makes specific choices. You’ll get a result, but it might not match your expectations perfectly.
If that happens, you can manually refine the answer or rewrite your instruction, hoping the AI will produce a better response the next time. This unpredictability is what makes AI both fascinating and sometimes frustrating.

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