Clayton @cthorrez
LLM applied scientist by day, esports data scientist for fun. Working on rating systems and benchmarks for esports (and LLMs?) I ❤️ paired comparison data claytonthorrez.com Joined March 2016-
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from multiprocessing import Pool pool = Pool(16) results = pool.map(evaluate, datasets)
is there a good way to test github actions locally so I don't have to embarrassingly commit all my broken stuff and run it live, then undo it?
In retrospect Elo correctly predicted the winner of Genesis (among the entrants)
I love brackets, what a wonderful structure containing really interesting data
working on a new @sigbovik paper which includes esports data and rating systems, my only worry is that it's a little bit too serious and not jokey enough, gotta make up for that in the writeup
Pretty hilarious that if you use Elo without any decay in the model Armada is still the number 1 melee player
Watching LoL worlds tonight so tried plugging in T1 vs Weibo into my rating system benchmark code elo: T1 67.49% glicko: T1 66.60% glicko2: T1 50.45% (I think there's a bug lol) trueskill: T1 63.02% openskill bradley terry: T1 72.04% openskill thurstone mosteller: T1 71.75%
I have the deepest respect for those who create for the sake of creation -- out of passion, curiosity, creative wanderlust. We need more of them.
some very preliminary results using all default values, kinda proud of my benchmark pipeline that spits out a latex table
Cool new rating system from some students of Weng and Lin who brought us Online Bayesian Ratings in 2011! arxiv.org/abs/2310.10386… Comes with a python and R codebase as well! github.com/tofu-hua/vRati…
ok ruff is pretty nice, that along with polars being cool is making me think I should learn rust. people are making lots of cool (and blazingly fast) stuff with it
so many forks of python projects with the only changes be to enable them for python 3.8+... And PRs never accepted either because they would break ancient pythons or the maintainers are dust in the wind
Kelsey Moser (莫凯�.. @karonmoser
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Our computer vision textbook is released! Foundations of Computer Vision with Antonio Torralba and Bill Freeman mitpress.mit.edu/9780262048972/… It’s been in the works for >10 years. Covers everything from linear filters and camera optics to diffusion models and radiance fields. 1/4
Who is creating a pytest-like tool for testing LLMs (where you can also track metrics, version data alongside code, etc)? looking for OSS
The optimal computation of gradients for the composition of functions is an optimal parenthesis problem. Forward and backward (backpropagation) are two extreme cases. Backward is optimal for scalar-valued functions. link.springer.com/article/10.100… en.wikipedia.org/wiki/Matrix_ch…
@xrist0bg Currently in a vanilla transformer a single forward pass gets you a softmax over the entire tokenizer as output already. That means you already have the kind of confidence score you're proposing already, no? How is your idea different?
i currently think llama 3 is the most important model release since gpt 2
@giffmana Despite your emphatic reply, I cannot find anything in the paper where the authors explicitly say, “better to train small models longer [with more tokens]”? What it does say explicitly, however, is “we find that for compute-optimal training, the model size and the number of…
Wondering how much progress was delayed by the chinchilla optimality paper, and people assuming that was a “given” because it came from DeeepMind.
I've been looking at parts of the new deep learning book by Bishop & Bishop, and some of the problems are really nice. For example, on high-dims., randomly sampled vectors are close to orthogonal -- a classic.
everyone asks what the data says, but no one asks how the data feels
Q: who is that? try to zoom out, it's not just strawberries ChatGPT: just a bunch of strawberries Claude 3: just a bunch of strawberries Gemini 1.5 Pro: It appears to be Kermit the Frog, with his face formed by strategically placed strawberries.
Mark to the Llama 3 team:
Meet Reka Core, our best and most capable multimodal language model yet. 🔮 It’s been a busy few months training this model and we are glad to finally ship it! 💪 Core has a lot of capabilities, and one of them is understanding video --- let’s see what Core thinks of the 3 body…
This is a MASSIVE win - Teams don’t have huge debts, way more help hosting events, and way more rev share - the League sticks around more like an open league compared to strict Franchise league - Activision is still investing in competitive
The @CODLeague has announced changes to CDL Team Agreements: — Outstanding entry fees will be eliminated, and any fees previously collected from teams will be returned in full. — Teams to earn increased revenue tied to the sale of their in-game merchandise and the Champs bundle.…
Also it sounds like cities are staying? I actually like them, they grew on me a ton. If this frees up teams to do more local activations it’ll thrive. What does everyone else think?
@tszzl he doesn't really output any valuable science he's an n of 1 and you can never tell whether it's the $75k a month injections of sea urchin extract or the rapamycin or random chance that causes him to live to be 82
Our most active contributors in March 2024: 🥇@Cynical_Death 🥈@KashimSC2 🥉EthanCheung 4 @BuqunSC2 5 @HyperONE_SC2
super nice perspective on positional encodings (from arxiv.org/abs/2012.09699)