CloseChoice

3 ms·

1.
by CloseChoice 9mo ago
I think this is a very valid hypothesis but it's hard to control for in experiments, since if these traits are necessary to become (or stay) famous, we don't really have a control group.
2.
by CloseChoice 11mo ago
It's deepseek so one can expect an open-source license but for anyone (like me) who wants to see that explicitly, since it's not obvious in the GitHub repo: https://huggingface.co/deepseek-ai/DeepSeek-OCR&#x2F
3.
by CloseChoice 1y ago
LLMs are largely used by developers, who (in some sense or the other) supervise what the LLM does constantly (even if that means for sum committing to main and running in production). We do already have a lot of tools: tests, compilation, a
4.
Show HN: Explaining Bundesliga predictions for the start of the season(cloudexplain.eu)
1 points by CloseChoice 1y ago|1 comments
5.
by CloseChoice 1y ago
Does anyone have insights how this compares to anaconda's approach? To me both seem very similar, ux <-> conda, pyx <-> conda-forge. Sure, astral's products are remarkable and widely loved, but I would like to understa
6.
by CloseChoice 1y ago
I just open-sourced: https://github.com/cloudexplain/xaiflow , a mlflow plugin to get interactive xai (particularly shap values) as mlflow artifacts. Furthermore looking into causal AI, especially dowhy.
7.
by CloseChoice 1y ago
Thanks for the question, there are a couple of existing solutions: - There is already a mlflow builtin tool to log shap plots. This is quite helpful but becomes tedious if you want to dive deep into explainability, e.g. if you want to under
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Show HN: Interactive explainable AI as mlflow artifacts(github.com)
4 points by CloseChoice 1y ago|2 comments
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Show HN: Fast, scalable and interactive explainability for ML Models(mvp.cloudexplain.eu)
2 points by CloseChoice 1y ago|0 comments
10.
by CloseChoice 2y ago
3 points stand out to me in this interview: - Project manager mathematicians: Tao draws a future where mathematical insights are "produced" like anything else in our society. He attributes the lack of this productionalization of m
11.
by CloseChoice 2y ago
It's a nice read but I doubt that the idea delivers what it promises. I think one could downsize the idea to: if you learn one topic deeply you (probably) touch surrounding topics. That does not sound as elegant and holistic as in the
12.
Shap v0.45.0(github.com)
1 points by CloseChoice 3y ago|1 comments
13.
Ask HN: Do you use products of a cloud marketplace?
1 points by CloseChoice 3y ago|0 comments
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Ask HN: Self-hosted application devs how do you handle deployment downtimes?
3 points by CloseChoice 3y ago|4 comments
15.
Ask HN: Did you ever fall out of Love with a Programming Language
7 points by CloseChoice 4y ago|17 comments
16.
by CloseChoice 4y ago
This is amazing and really made with love. Just found a website in the 90's style of guy who asked companies for free stuff by letter.
17.
by CloseChoice 4y ago
I think it's hard to argue that we DON'T live in an age with the highest life expectancy and material wealth ever (at least for the western countries, but this probably holds around globe). But there are quite a few things we are
18.
by CloseChoice 4y ago
You are right, but it is not ruled out entirely because they used Wolf and Abel prize in the contenders group, which are awarded for a lifetime of work in mathematics and therefore biasing the contender groups.
19.
by CloseChoice 4y ago
I am missing error bars here. The analysis is looking at 64 individuals and a unknown number of contenders. For such small samples I would expect the uncertainty to be quite high.
20.
by CloseChoice 4y ago
I just want to stress one thing: starting some activity is hard. Once I started an activity it is usually not that unpleasurable at all, even things like doing taxes, cleaning, writing this email I tried avoiding for weeks, etc. For me that