Why understanding key ML concepts really helps you use LLMs more effectively

[00:00] Why learn machine learning like you did [00:02] when for most developers like using an [00:05] LM is just making a series of API calls? [00:07] You know, if you want to use these [00:09] tools, you can just use them by, you [00:12] know, [00:13] playing with the models, chatting with [00:15] them all day, and you will get a lot of [00:17] value from that. But then you will hit [00:20] potentially a wall and you'll be like, [00:22] "Well, I want it to do this." And like [00:25] when that moment happens for you, [00:28] you have to dig deeper. Like you have [00:30] you have to understand [00:33] why is the model producing this output [00:35] instead of some other output? And it [00:38] like it's difficult if you don't have a [00:40] foundation to either even know how to [00:42] like debug or think about the problem in [00:44] such a way that you can solve