This is aimed at absolutely anyone interested in AI, from c-suite and software engineers to curious parents and engaged amateurs. No technical background is necessary, as no matter your background you will leave much better informed about key (and controversial) terms in AI.
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June 2024
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There are 8 modules in this course
Learn about a controversial label for LLMs, whether it holds up, and what on earth parrots have to do with it.
What's included
1 video1 assignment
Deciding if you think models display emergent behaviors could shape your perspective on AI, so take the time to learn why this term is so controversial.
What's included
2 videos2 assignments
In some quarters, the most controversial term of them all. Here, we mainly focus on the difference between open source and open weights - a key distinction!
What's included
1 video1 assignment
You won’t (I hope) be bitter after learning about the bitter lesson - a seminal insight onto what works best in AI, and why.
What's included
1 video1 assignment
Now we’re getting deep. Reflecting on whether models actually ‘reason’ - and what that word actually means - or just pattern-match, is crucial for anyone interested in using AI.
What's included
1 video1 assignment
It’s easy to ‘know’ that models hallucinate and are biased, but actually exploring demonstrations on how they are, and how to minimise that, is a whole other matter - a matter we discuss in this deep dive!
What's included
1 video1 assignment
‘Takeoff' and 'takeoff speeds' are terms worth learning about, even if they are deeply theoretical, and even if you disagree with the entire notion of a takeoff. The fact that these terms have led to debate even at CEO-level is enough to make it worth grasping their meaning, whichever 'side' you are on.
What's included
1 video1 assignment
Perhaps the most controversial term of them all. Whatever your stance is, knowing the origins, nuances and key positions on this term will serve you well.
What's included
1 video1 assignment
Instructor
Offered by
Recommended if you're interested in Personal Development
University of Michigan
Northeastern University
Coursera Instructor Network
Coursera Instructor Network
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