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Reinforcement Learning from Human Feedback

DeepLearning.AI · View on Coursera ↗

Taught by Nikita Namjoshi

Computer Science

Coursera
4.7
headline rating
Starisk
4.5
Holds up
Small sample. Only 6 reviews were readable, so this score is a hint, not a verdict. Every other course page reads about 20 of the most-helpful reviews.

About the course

Large language models (LLMs) are trained on human-generated text, but additional methods are needed to align an LLM with human values and preferences. ...

The consensus

Every one of the 6 reviews we read gave it 4★ or more. This is the most-upvoted one (1 vote).

“better to be expanded a bit, but overall, it is super course”

5.0 / 5

Read the full review on Coursera ↗

Coursera's 4.7 comes from 37 ratings. Of those, 0.0% are 1–2★.

Starisk reads the reviews learners voted most helpful, and weights each by the square root of its votes: a review with 80 upvotes counts about five times one with 2. Unvoted reviews are not skipped out of laziness — by this model they carry no evidence that other students endorsed them.

That measures what the most-endorsed reviews say, not “true quality.” The rating distribution above is the whole population, so you can see the sample next to it.

Reviews read on 23 Oct 2026.Read them on Coursera ↗