I shared a post today about a team of agents I built to do research work. More about this here.
This evening I also decided to return to the absolute basics of AI, and have started another online course.
“AI for Everyone” is a non-technical introduction to AI by the prominent AI researcher, Andrew Ng. It’s a 4-week self-paced course that I plan to complete in half the time or less.
I plan to pick up some of the very basics about AI, even though in the last few weeks I’ve already got to a place where I can build and train my own models. I especially want to fill in the gaps on key developments. For example, on the course today I came across this chart and learnt something new: Traditional AI (mostly supervised machine learning techniques) go only so far — even though they still offer tons of value. More recent developments, however, have come from neural networks. I’ll have to explore them further in the coming weeks.
