kya baat

MERCI

great

nice

good

Great starting point, content and organization, it was what I needed to get started with LLMs already knowing about other models. Great jupyter notebooks too. But I would say both the lecture videos and coach are too bland, it would be better if the coach framed things as a TA for example. Also sometimes the icons/images used in the videos to separate topics or methods are generic and not useful.

I agree that the course material contained a lot of relevant information and found it highly informative. However, having a human instructor walk through the code step by step would have elevated it to a phenomenal level. The robotic video presentations and interspersed readings weren't as engaging; a fully human-led video-audio format throughout would have been much more effective.

Algo rápido en las explicaciones de videos complejos, especialmente los que contienen código que se presenta en bloques de manera instantánea. Uso de botón de pausa muy recomendado para asimilar mejor el contenido que se presenta.

Labs could have been made a little more lucid and comprehensive with comments for unusual syntaxes and appropriate visuals for the subject matter. Great course, regardless.

his course is sufficient to introduce the different architectures of LLMs and enable you to prepare data for training models.

I highly recommend using a human to deliver the lectures, which might enhance student engagement. Great introductory course.

This is a fairly easy course, focusing on introducing the high-level concepts, without too much hands-on practices

I think it is too easy to get certification. The difficulty of the examination should be increased.

Too fast reading of the slides without much of explanations.

I would expect more hands on and code submissions

It was good introductor course

very useful for beginners

The content in the lectures is complex but the slides are not made available to download. Also the Cheat Sheets and other similar materials are presented in weird "windows" that also do not make them available for download. This is a first for me in a Coursera course and I'm find it not very conducive to learning. These material should be easily available. Not certain I will complete the full Specialization if the materials are not made available.

I found the course on LLMs to be a solid introduction, particularly appreciating the cheatsheet and experiments included. However, the requirement to purchase a $49 certificate to complete the course felt excessive. The course producer should learn from many other courses on Coursera, completing the course should be free with the option to purchase the certificate as an add-on.

There are some lab works where training was consuming enormous time, due to which I was not able to complete that lab. This needs to be resolved so that other learner would get benefit out of this.

so much of reading material and so less of actual videos. the speaking voice in video is also in a rush

Content was decent for intermediate intro, but all labs were broken. Easy 4 stars if they worked.

more video content expected , over all fine , using yt at a same time increase understanding rate

Labs don't work as torchtext is deprecated and doesn't run on Python 3.12 kernel

some module are lock and those are important for learning