There were many typos and issues with the code in the labs that needed to be troubleshooted independently to get them to run properly.

Sharing hugging face web page without any other content might be more interesting than the provided content: brief notion without clear and concise explantion or intuition, a lot formula without clear demonstrations, etc. ...

The videos lacked a consistent storyline, and the mathematics was poorly presented -> Showing steps is better than abusing Manim to make nice animations.

Generative AI: Advanced Fine-Tuning for LLMs is an outstanding course that dives deep into the intricacies of customizing large language models. With a strong focus on practical implementation, it covers advanced fine-tuning techniques, optimization strategies, and real-world applications. Ideal for AI practitioners looking to enhance model performance, this course balances theory with hands-on labs, making complex concepts accessible and actionable

This course is a great resource for learners, providing deep insights and practical skills in fine-tuning large language models for advanced AI applications.

An excellent course with a wealth of high-quality material, featuring highly informative lessons such as DPO and PPO.

The course gave me a good understanding of fine-tuning LLMs. It made complex topics easy to learn.

Very Informative – Covers advanced fine-tuning techniques in a clear and structured way

Great course, love the deep-rooted content. All my concepts are so clear now. Kudos!!

Latest fine tuning techniques are presented in an easy-to-understand way

Greate for the people, who wants to build an actual AI

Great course, very helpful

Amazing content!!

Excellent course

Great course!!

Great course

Good course

Good content. Improvable documentation.

The material in this course is quite useful. It is clear, however, that the author's first language is not English. There are many sentences in the material that are poorly structured and hard to understand as a result. There are also some very poor questions in the quizzes. There is one particular question that asks us to select one of four Python commands that need to be called first to accomplish a task. The problem is that in reality, any of the choices are valid as the first command. So this question asks us to read the author's mind.