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1. Re: PyTorch with ROCm (score: 13)
Author: HIDDEN
Date: Thu, 28 Mar 2024 23:21:19 +0100
Hello! Nice! I’m happy to merge your changes in the ‘guix-hpc’ channel for the time being (I can create you an account there if you wish so you can create merge requests etc.). Let me know! I a
/archive/html/guix-devel/2024-03/msg00267.html (8,366 bytes)

2. PyTorch with ROCm (score: 13)
Author: HIDDEN
Date: Sat, 23 Mar 2024 23:02:53 +0000
Hello, after seeing that ROCm packages [1] are available in the Guix-HPC channel, I decided to try and package PyTorch 2.2.1 with ROCm 6.0.2. For this, I first unbundled the (many) remaining dependen
/archive/html/guix-devel/2024-03/msg00242.html (7,683 bytes)

3. Re: Concerns/questions around Software Heritage Archive (score: 13)
Author: HIDDEN
Date: Mon, 18 Mar 2024 16:38:21 -0400
[...] I think that the larger point here is that you do not get to choose who use your software and for what purpose. That is the double edges sword of free software. Putting aside LLM for a moment,
/archive/html/guix-devel/2024-03/msg00210.html (7,885 bytes)

4. Re: Concerns/questions around Software Heritage Archive (score: 13)
Author: HIDDEN
Date: Mon, 18 Mar 2024 12:38:18 -0700
Hi, They appear to be using the archive to build LLMs: https://www.softwareheritage.org/2024/02/28/responsible-ai-with-starcoder2/ About LLM, Software Heritage made a clear statement: https://www.so
/archive/html/guix-devel/2024-03/msg00209.html (11,898 bytes)

5. Re: Concerns/questions around Software Heritage Archive (score: 37)
Author: HIDDEN
Date: Mon, 18 Mar 2024 16:27:24 +0000
Hi, I want to stress that I am not a lawyer, but my (possiblibly outdated) understanding of what machine learning models can and cannot do with regards to their training data, and a reading of parts
/archive/html/guix-devel/2024-03/msg00198.html (21,229 bytes)

6. Re: Concerns/questions around Software Heritage Archive (score: 13)
Author: HIDDEN
Date: Mon, 18 Mar 2024 13:47:42 +0200
Hi, They appear to be using the archive to build LLMs: https://www.softwareheritage.org/2024/02/28/responsible-ai-with-starcoder2/ About LLM, Software Heritage made a clear statement: https://www.so
/archive/html/guix-devel/2024-03/msg00186.html (11,500 bytes)

7. Re: Concerns/questions around Software Heritage Archive (score: 13)
Author: HIDDEN
Date: Mon, 18 Mar 2024 10:28:55 +0100
Hi, About LLM, Software Heritage made a clear statement: https://www.softwareheritage.org/2023/10/19/swh-statement-on-llm-for-code Quoting: We feel that the question is no longer whether LLMs for cod
/archive/html/guix-devel/2024-03/msg00184.html (8,228 bytes)

8. On substitutes and donating hosting to Guix (score: 13)
Author: HIDDEN
Date: Fri, 15 Dec 2023 00:16:45 +0900
Hi all, I would like to share my computing resources with Guix developers and users, but I don't know which option is the best. (<-- share: per gratis) I am the admin of repo.jing.rocks, which is alr
/archive/html/guix-devel/2023-12/msg00156.html (7,430 bytes)

9. Re: Segmentation fault (score: 30)
Author: HIDDEN
Date: Wed, 22 Nov 2023 21:17:00 +0100
Hi there Could you please provide the contents of a config.scm file that could be used to reproduce the problem? Best :) Wojtek -- (sig_start) website: https://koszko.org/koszko.html fingerprint: E97
/archive/html/guix-devel/2023-11/msg00147.html (6,352 bytes)

10. Segmentation fault (score: 22)
Author: HIDDEN
Date: Wed, 22 Nov 2023 20:11:42 +0200
Hi everyone, I’m not sure where I should register this, so I’m writing here. Running system vm following the time-machine gives out segmentation fault. guix time-machine –commit=v1.3.0 – syst
/archive/html/guix-devel/2023-11/msg00145.html (4,397 bytes)

11. Re: Binary descriptors for OpenCV (score: 13)
Author: HIDDEN
Date: Thu, 24 Aug 2023 17:08:35 +0200
Hi Maxim, [...] I agree we should take input from free software activists both within and outside the project. My experience is that the FSF may not be as active as we’d like, as evidenced by the g
/archive/html/guix-devel/2023-08/msg00144.html (7,248 bytes)

12. Re: Binary descriptors for OpenCV (score: 13)
Author: HIDDEN
Date: Thu, 17 Aug 2023 19:18:40 -0400
Hi Ludovic, I don't feel specially qualified to discuss this issue; perhaps it'd best be left to the people the FSF to draft new guidelines / expound the GNU FSDG with these new realities? -- Thanks,
/archive/html/guix-devel/2023-08/msg00079.html (7,103 bytes)

13. Re: Binary descriptors for OpenCV (score: 13)
Author: HIDDEN
Date: Thu, 17 Aug 2023 16:57:35 -0500
Yeah, sure, I could offer my input.
/archive/html/guix-devel/2023-08/msg00077.html (6,814 bytes)

14. Re: Binary descriptors for OpenCV (score: 13)
Author: HIDDEN
Date: Wed, 16 Aug 2023 18:55:19 +0200
Hi, Yes, the problem is machine-learning output comes up more and more frequently. I agree we need to come up with a policy (I’m a bit torn on this and not too sure what I’d put in there.) Maybe
/archive/html/guix-devel/2023-08/msg00071.html (6,338 bytes)

15. Re: Binary descriptors for OpenCV (score: 13)
Author: HIDDEN
Date: Thu, 3 Aug 2023 09:18:50 +0300
In that case aren't the captions the input to the model and the images the output? The training process tries to minimize the error between the correct output from the data set and the generated out
/archive/html/guix-devel/2023-08/msg00011.html (7,220 bytes)

16. Re: Binary descriptors for OpenCV (score: 24)
Author: HIDDEN
Date: Tue, 01 Aug 2023 10:02:11 -0400
Hi Ricardo, We should ask what is the FSF's opinion about it, if they have one. I personally see trained data models as data more than code; so when their licensing allows them to be redistributed I
/archive/html/guix-devel/2023-08/msg00002.html (6,353 bytes)

17. Binary descriptors for OpenCV (score: 24)
Author: HIDDEN
Date: Mon, 31 Jul 2023 15:12:49 +0200
Hi Guix, I’d like to draw your attention to https://issues.guix.gnu.org/64945. It’s a patch that adds binary descriptors to OpenCV. These descriptors are the result of a very expensive computatio
/archive/html/guix-devel/2023-07/msg00163.html (4,754 bytes)

18. Re: Guidelines for pre-trained ML model weight binaries (Was re: Where should we put machine learning model parameters?) (score: 376)
Author: HIDDEN
Date: Tue, 04 Jul 2023 13:03:13 -0700
For a more concrete example, with facial reconition in particular, many models are quite good at recognition of faces of people of predominantly white european descent, and not very good with people
/archive/html/guix-devel/2023-07/msg00023.html (8,683 bytes)

19. Re: Guidelines for pre-trained ML model weight binaries (Was re: Where should we put machine learning model parameters?) (score: 376)
Author: HIDDEN
Date: Tue, 4 Jul 2023 10:05:01 -0300 (BRT)
I feel like, although this might (arguably) not be the case for leela-zero nor Lc0 specifically, for certain machine learning projects, a pretrained network can affect the program’s behavior so de
/archive/html/guix-devel/2023-07/msg00020.html (7,710 bytes)

20. Re: Guidelines for pre-trained ML model weight binaries (Was re: Where should we put machine learning model parameters?) (score: 394)
Author: HIDDEN
Date: Mon, 03 Jul 2023 11:39:56 +0200
Hi, Hum, I am probably not this Someone™ but here the result of my looks. :-) First, please note that the Debian thread [1] is about, Concerns to software freedom when packaging deep-learning based
/archive/html/guix-devel/2023-07/msg00017.html (11,339 bytes)


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