ersiees

6 ms·

1.
by ersiees 1mo ago
Sub two hour marathon is a more recent example of this
2.
by ersiees 1mo ago
Meta, please go back to publishing weights. Your models aren't top-tier, this wouldn't hurt you at all at your current position in the rankings. They wouldn't have the best open-weight models, but the best western open-weight
3.
After automation: what if the work of tasking LLMs stays?(every.to)
1 points by ersiees 4mo ago|0 comments
4.
Anthropic is Down(updog.ai)
154 points by ersiees 8mo ago|144 comments
5.
by ersiees 8mo ago
Isn’t it too late for that? Won’t that rather cement the oligopoly we have right now?
6.
by ersiees 1y ago
I think the European urinals already follow the proposed designs closely. They only compare to very old chunky designs.
7.
by ersiees 1y ago
I don’t love fennel, it usually dominates the whole taste of a dish for me
8.
by ersiees 1y ago
So, 100$ Nike shoes will soon be 125$.
9.
by ersiees 2y ago
Author here! Thanks :) 1. Only for the first version, not for this version. I am sorry! 2. Yeah ours is guaranteed ok, as we wrote code to generate it basically just from plain torch ops. The code to run inference is available, just not the
10.
by ersiees 2y ago
Yes, there are normalizations applied before the features are fed to the neural network. Additionally, the neural network is trained on a very diverse set of artificial datasets.
11.
by ersiees 2y ago
Author here: The new introduction of attention between features did make a big impact compared to the first variant of TabPFN. The old model handled every feature like it was completely different to be feature 5 vs 15, but actually features
12.
by ersiees 2y ago
To put it very simply, the trick is that while the others train a new model for each problem, TabPFN is pre-trained to handle any kind of problem on the fly. To draw a parallel to NLP: previously people trained a neural network for each kin
13.
by ersiees 2y ago
Tuned per dataset
14.
by ersiees 2y ago
No, it is *much* stronger, a different architecture and scales to 10x the number of examples. It can also do regression now, and handle categorical features. Please, have a quick look at the abstract before making such claims.
15.
TabPFN-V2(nature.com)
4 points by ersiees 2y ago|0 comments
16.
by ersiees 2y ago
Another clue: there is no way to download the latex, while you can if someone uploaded the latex on arxiv.
17.
Show HN: Lektor.lol, a free, hacky promptable writing assistant (no sign up)(lektor.lol)
1 points by ersiees 2y ago|0 comments
18.
by ersiees 2y ago
What is the alternative to AI twitter? Is there some incumbent where it moves?
19.
by ersiees 2y ago
And there is scratch right?
20.
by ersiees 2y ago
Why is it only for 7 days available?
21.
by ersiees 2y ago
I think this is also interesting to keep in mind when thinking about the changes to the job market that are possible due to technology (e.g. AI). Most of care will not be automated any time soon. And it is a huge part of the economy.
22.
Background on the Economics Nobel [pdf](nobelprize.org)
1 points by ersiees 2y ago|1 comments
23.
by ersiees 2y ago
Someone having a non paywall link?
24.
by ersiees 2y ago
I think I was not very specific, but I think there is a lot of video on YouTube that does not make any money for the producers and in the past YouTube also did not show ads for these videos, but now they show Ads even if the producers of th
25.
Ask HN: Is there an open source (maybe torrent-based) alternative to YouTube?
1 points by ersiees 2y ago|3 comments
26.
by ersiees 2y ago
Check out Lektor.lol an open source wrapper around ChatGPT I created just for that :)
27.
LLM writing help with a simple diff-based interface (req's OpenAI API key)(lektor.lol)
1 points by ersiees 2y ago|0 comments
28.
by ersiees 3y ago
more of a rural myth, I guess ;D
29.
by ersiees 3y ago
This trick “they found” is part of the standard torch implementation of multi head attention, namely it is called, add_zero_attention. They add a zero to the logits, resulting in a one in the denominator as e^0=1 https://pytorch.
30.
by ersiees 3y ago
Very interesting that someone finally tries out muP in the real world. Do I understand the usage correctly: MuP is only used to get around choosing an lr for each size? Here I wonder how it compares to standard heuristics like the one in th

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