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vervez

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vervez
·3 yıl önce·discuss
There's also recent Bayesian Optimal Experimental Design methods that allow you to directly design experiments using gradient ascent. Not sure how it compares with BayesOpt on your problem, though.
vervez
·3 yıl önce·discuss
github copilot won't pay for itself.
vervez
·3 yıl önce·discuss
Their paper is more for the case of "we can't gather more data, so what to do?" but your solution is in line with optimal experimental design and choosing a utility function to distinguish between models using as little data as possible.
vervez
·3 yıl önce·discuss
Here's a good recent paper that looks at this problem and provides remedies in a Bayesian manner. https://arxiv.org/abs/2202.11678
vervez
·3 yıl önce·discuss
min{d(problem)/d(theta)} is essentially what LLMs are doing with a prompt. Every session that a chatgpt user has leads to either a resolution or not, which is the loss function given the prompt used to reach that point. It's getting better at not hallucinating in my experience over just the past 4 months.
vervez
·3 yıl önce·discuss
Thanks for sharing and i'm happy to be your friend :)
vervez
·3 yıl önce·discuss
I see your point and agree it can be frustrating if DEI initiatives are used as a political tool or blindly without considering the pitfalls of a naive implementation.
vervez
·3 yıl önce·discuss
Indeed, I didn't cite any sources but I'm fairly sure there's literature studying this phenomenon. I agree that DEI when used as a political tool is a distraction for a company.
vervez
·3 yıl önce·discuss
I think many of the things you mentioned w.r.t. diversity is actually forward-thinking and potentially yields more returns later. If there's a brilliant swe that feels uncomfortable at a company because of how they name their branches, they won't work there. Same goes for hiring a "less-qualified" individual. How many decisions or projects can be improved because of a diversity of input? Again, a non-linear outcome that is harder to measure than immediate profitability. Those are some arguments for those programs focusing on your productivity point.
vervez
·4 yıl önce·discuss
Equivariance is growing in popularity in machine learning, so these tricks will be helpful if one wants to study, or publish, in that area (I'm thinking about it). I'd recommend for any ML-related folks to look into this area and save this thread whenever they're trying to implement an equivariant neural network.
vervez
·4 yıl önce·discuss
So you `pip install`ed them at a new company? I'll see myself out.
vervez
·4 yıl önce·discuss
Here's a short (unscientific) article (that kinda links to scinetific articles) about the link between lactic acid buildup and its relation in the brain. Sounds like exercise generates a natural nootropic. https://www.outsideonline.com/outdoor-adventure/lactic-acid-...