bawis

Same, too bad that recently (based on my hunch) these gems are getting less attention and LLM BS (or AI) is dominating the scene.

Aaah, the old benchmarks maxxing argument, having precise and clear definition of what "spatial reasoning" is, what, and most importantly WHY, the benchmarks of choice are would settle this debate, otherweise let's not delve into it.

Do yourself a favour and read Informing Ourselves to Death.

One can get paid the big bucks without a clue what they do, even some of the most brilliant statisticians do acknowledge the ambiguity of stats.

For math majors, LADR is far better than LADW, almost most of LA books use the determinant to prove the advanced stuff (diagonlaization etc), what sets LADR apart is the intentional delay of introducing determinants in order to prove (and hence understand) what's the goal behind concepts such as diagonalization, I love this method.

I have problems accessing both the links, 'Timed Out' problem, is it working for u?

What did the course cover?

What's the story of the Hermitian matrix and self adjoint operators?

> Whenever I teach people time series forecasting, I always point out that one of the biggest challenges is that you will always have values at prediction time that are out side the range of values observed during training (specifically the value of t).

I don't get this, time is usually not a covariate in ts models, so why is it a challenge?

Were they translated to Hindi or kept in their original language?

>> Now, we have better knowledge of prompting as people have learnt what to say

Can you back up this claim? what do you mean exactly by "better knowledge" ?

The smartest people *usually* have little idea how *us* mortals can abuse the GenAI tools, because they are aware of their limitations, but we aint.

What are you favourites?