Post by Ndubuisi Raphael Agua (@nura23tech)
Good evening tribe. I trust we all had a very good day, and we are adjusting well for the night rest. Let's dive in to our learning.
๐ค ๐๐๐๐๐๐๐๐๐๐ ๐ฆ๐๐๐๐ ๐๐๐
๐๐ฃ๐๐ฆ๐ข๐๐ ๐ฌ๐ฌ๐ฑ โ ๐๐ข๐ช ๐๐ข ๐๐จ๐ ๐๐ก๐ฆ ๐ง๐๐๐๐ ๐๐ก๐ ๐๐จ๐๐๐ ๐๐? ๐ง ๐ค
In our last episode, we learned that AI can learn in different ways, but there is something important we need to understand โ AI learning does not happen without human involvement
Before AI can learn from many types of data, humans are often involved in preparing that data, organising it and showing the AI what different examples mean
For example, if we want AI to recognise cats and dogs, humans can label thousands of images so the AI has examples to learn from ๐ฑ๐ถ
But it doesnโt stop there
Humans can also review AIโs results, identify mistakes and provide feedback that helps improve the system, especially when the AI produces an answer that is inaccurate, unclear or inappropriate
So when we say AI is learning, it doesnโt mean humans have completely stepped away and allowed the machine to figure everything out by itself
There is usually a process involving DATA โ EXAMPLES โ HUMAN GUIDANCE โ FEEDBACK โ IMPROVEMENT
And, this brings us to an important question ๐
๐๐ ๐๐จ๐ ๐๐ก๐ฆ ๐๐๐๐ฃ ๐ง๐ฅ๐๐๐ก ๐๐, ๐๐๐ก ๐ง๐๐๐๐ฅ ๐ ๐๐ฆ๐ง๐๐๐๐ฆ ๐๐๐๐๐๐ง ๐ง๐๐ ๐๐?
Thatโs where things get even more interesting ๐ง
๐๐ฒ๐ฎ๐ฟ๐ป โข ๐๐๐ถ๐น๐ฑ โข ๐๐ฟ๐ผ๐ โข ๐๐ฎ๐ฟ๐ป
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