Coursera Instructor Network
8 Most Controversial Terms in AI, Explained
Coursera Instructor Network

8 Most Controversial Terms in AI, Explained

Taught in English

Course

Gain insight into a topic and learn the fundamentals

Beginner level

Recommended experience

3 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace

Details to know

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Recently updated!

June 2024

Assessments

9 assignments

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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

Philip - AI Explained
Coursera Instructor Network
1 Course302 learners

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