Great course to gain a better understanding of how LLMs work that transcends the current shallow hype.

please speak SLOWER.. why are you all speeding through the lectures? Andrew set a high bar, really..

Great course with one big miss: handling non-english languages (choose models, optimize for).

Breadth of the course is very good. However, small hands-on exercise will be very helpful.

Great course. The labs need longer video to discuss every aspect "coding wise" properly.

Quizzes were far from excellence. Responsible AI is not what was translated to audience.

Very good for explanation, but not enough materials for practice. All in all, it's good.

Good introductory course that covers a wide set of topics. Great for starting with LLMs

Great Course! Good place to learn about LLMs, parameters, PEFT, LORA, RLHF and RLAIF.

The concepts are really helpful but the lab section is a bit tricky to understand.

The theoretical part was very good, but the practical part was a bit too shallow.

Great hand-on course to learn basics of Generative AI with Large Language Models.

Loved the material. I wished I could do more implementation work in the labs.

Gives a pretty good and technical overview of developments in the LLM space.

very difficult topics to explain but thanks for your ability to do this!

Loved the illustration to tune LLM. Lab 3 looked a bit less structured.

The labs were not really challenging and did not have any excercises.

Good course for those who wants to understand GenAI along with LLMs

Expected to also have Lab for model deployment and applications

The course was good. However the RHFL could be explained better

Is a Fast course but full of details and additional resources.

would be better with labs on the cloud coding environment

one bad thing in this course is a lot of repeated lessons

Very good, in depth, examination of theory and practice.

i found the labs and how to urn the labs a bit confusing