Let’s call it what it is- underneath all the glam and hype, 𝗶𝘁’𝘀 𝘀𝘁𝗶𝗹𝗹 𝗺𝗮𝘁𝗵. A network of numbers. Patterns learned from numbers. Spitting out more numbers. Very simply put, it’s a complex network of if-else; running on vectors. At least that’s where it all started, from rule based engines: An intuition for Machine Learning That’s pretty simple, so what’s the path we had to cover to reach the world as we know it of LLM, GPT, autonomous agents? ...
Part 1 of “AI ain’t Magic, It’s Math” Before AI became what it is today, machines behaved like bureaucrats: they only did what you explicitly told them to do. Software was ==Rules Based==. Meaning: you wrote conditions, and the machine reacted to those conditions. First you create the rules mentally If A happens then X, If B and C happends then do Y, If A and D and E Happens then Do Z Then hard code it ...
..coming soon
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