Artificial Intelligence (AI) – A Beginner’s Guide
PS: I’ll be using broken English throughout the document. Nataka uelewe the concept as easy as possible. I think if you’re reading this I’m guessing umeskia the term ‘Artificial Intelligence’ or AI before, maybe on the news ama normal conversations. Swali ni, What exactly is AI? Is it robots talking over the world? Maybe you’ve heard AI ndo itareplace most working class people, maybe. Ama that it’s a smarter computer system? Funny thing is AI was already part of your - life long before ChatGPT even existed. For example, ushawai jiuliza how Google knows exactly what you’re searching for? Ama venye ukitumia YouTube ama Netflix inakuletea content specific to you? Tiktok too -that’s why inaweza kuwa a big distraction at times. Yeap, thats AI. So umeitumia for longer than you thought —you just didn’t realized it. I’ll try to explain the term in the simplest way possible - nataka uielewe, so no technical stuff. Just a clear, easy-to-understand guide into what AI really is. Let’s dive in. What is AI? In simple terms, ni the process ya kujaribu kufunza computers ziweze kufikiria na kulearn like humans. Instead ya kufollow instructions, inamake decisions based of what imelearn and also inaweza improve over time. And yes, ni kitu complex, but it’s possible. Let’s think of this kama mtoto analearn kuidentify animals. At first, lazima umwambie, ‘This is a cat, and this is a dog’. But over time, anaanza kuidentify the animals pekee yake. This is how AI learns, inahitaji a good amount of data kuelewa (learn) then inaweza make decisions based off that. How does AI work? Imagine a smart chef mwenye anataka kuprepare the perfect meal but hajui ataanza wapi. Similar to how AI learns, the chef anaweza: Learning from Data - Ingredients ndio data. Chef anacollect recipes kutoka kwa top chefs worldwide na anaanza kuona patterns. Recognizing patterns - In the process, the chef ananotice some spices go well together others don’t. So, ivi ndo AI inaunderstand patterns ( e.g., dogs are bigger than cats, cats have sharp ears, veggies are leafy, green….) Making predictions - After chef amenotice how some spices zinataste better, anaanza kumake guesses (predictions) which ingredients zitachanganyika vizuri ( ovacado + … ). Similarly, ivi ndo AI inaweza make guesses of what the output should be. e.g., Ukiipatia picha ya the dog and the cat, itajaribu kuguess gani ndo cat na gani ndo dog. Improving over time - Kama dish inataste off, chef anaadjust recipe. AI pia inafanya hivi—it learns from mistakes and successes, improving predictions over time. That’s the general process, data → learn → guess → improve. That’s why AI inahitaji a lot of data, something lacking in Kenya. Meanwhile, some use cases za AI ni: Google Search & YouTube recommendation. Netflix & Spotify Face Unlock - Yes, that’s AI too. Of course, ChatGPT Zuri, from Safaricom if ushawai itumia
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