It was great being able to follow along through the hands-on practice! Although I had to ask AI for help because the LLM versions update so quickly, it was a very helpful session for grasping the core concepts!

I was disappointed because the lecture materials, paper summaries, and example codes all felt like they were written by GPT. I paid for this course specifically for the fine-tuning practice, but the instructor just displays the code and reads the comments as they are. It makes me feel like there's no difference between this and just asking GPT to write example code with comments. In the first practice session, there was no check for dataset imbalance, and the model was trained on data where all labels were 0; when it outputted 0, the instructor said it was correct... I'm seriously debating whether I should continue with the remaining lectures.

It would be even better if lecture materials were provided and Q&A responses were addressed. The content is truly great for grasping the overall concepts!

I don't even know the meaning of the words being used to explain things, and since the operating principles aren't clear, I don't understand why classic models like word2vec even came about. I'm as confused as I was when I took my first major course in university;; The screen just shows simple PPT slides without any pen annotations or drawings. It would be better to start by understanding the operating principles, but I have to do extra research just to understand that;; Especially since demonstrative pronouns like "like this, this kind of thing" are repeated countless times, it's even more confusing. The screen is static, yet the instructor says, "It becomes like this," "These things," or "This," so it's impossible to understand easily. They say it's good to learn things the hard way, but... I don't know whether to be happy about it or not. ㅠㅠ I haven't finished the later parts yet... I'm debating whether I should keep listening or not.

It is easy to understand, and the clear explanations are very helpful for studying.