LLMs dont inherently knw d best approach that suits our specific requirements. They might replace missing values with 0, 0.1, or some other small value, or even drop the observation. It's essential for us to understand programming so that we can verify LLMS is doing it correctly.
LLMs are excellent for programming assistance. In fact, they are so effective that they might replace many low-level programming jobs. However, we still need to learn programming to identify mistakes made by LLMs.
For example, consider the treatment of missing values in data.
@YujungHwang3 there is a trick or skill to peel it off. I get it from street, they sell it for rs 30 per piece and peel it in less than 30 seconds. next time, I may record it and share with you.
@YujungHwang3 I believe these software effectively illustrate the motivation & capability of spatial analysis. They r designed to be beginner-friendly, avoiding complex programming jargon. This way, beginners cn focus on the core aspects of d subject without feeling overwhelmed by programming.
Economists care a lot about unemployment. When it is given that the total number of jobs will reduce because of AI and automation, shouldn't the focus be on distribution of remaining jobs and redistribution of output/production by a few capitalist?