[HN Gopher] A statistical approach to model evaluations
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A statistical approach to model evaluations
Author : RobinHirst11
Score : 29 points
Date : 2024-11-23 12:37 UTC (6 days ago)
(HTM) web link (www.anthropic.com)
(TXT) w3m dump (www.anthropic.com)
| fnordpiglet wrote:
| This does feel a bit like under grad introduction to statistical
| analysis and surprising anyone felt the need to explain these
| things. But I also suspect most AI people out there now a days
| have limited math skills so maybe it's helpful?
| fsndz wrote:
| AI engineers just use "vibes" currently haha
| godelski wrote:
| As an ML researcher who started in physics (this seems common
| among physics/math turned ML people. Which Evan is included), I
| cannot tell you how bad is it... One year at CVPR when
| diffusion models hit the scenes I was asking what people's
| covariance was (I had overestimated the model complexity), and
| the most common answer I got was "how do I calculate that?"
| People do not understand things like what "pdf" means. People
| at top schools! I've been told I'm "gatekeeping" for saying
| that you should learn math (I say "you don't need math to build
| good models, but you do to understand why they're wrong"). Not
| that you need to, but should. (I guess this explains why
| Mission Impossible Language Models won best paper...)
|
| I swear, the big reason models are black boxes are because we
| _want_ them to be. There's clear anti-sentiment mentality
| against people doing theory and the result of this shows. I
| remember not too long ago Yi Tay (under @agihippo but main is
| @YiTayML) said "fuck theorists". I guess it's not a surprise
| Deep Mind recently hired him after that "get good" stuff.
|
| Also, I'd like to point out, the author uses "we" but the paper
| only has one author on it. So may I suggest adding their cat as
| a coauthor? [0]
|
| [0] https://en.wikipedia.org/wiki/F._D._C._Willard
| canjobear wrote:
| What's your objection to Mission Impossible Language Models?
| runeblaze wrote:
| Maths also mean different things. Your average number theorist
| or algebraic geometer will most likely not touch statistical
| techniques day-to-day. Reading this Anthropic article was
| helpful because I am constantly catching up on my statistical
| background
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