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@k8s_cncf_nbg@social.kontrollapparat.de
2025-06-03 14:11:48

Our meetup was well-attended with two interesting talks:
📋 Sarah Julia Kriesch presented "Docker vs Podman" - a beginner-friendly introduction to container basics and key differences between these tools.
🔧 Philip Laine showcased "Spegel", an OCI Registry Mirror that leverages torrent technology for efficient container image distribution - saving traffic costs and safeguarding against registry outages.
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The scene depicts a bright room with cozy, modern furnishings. A person stands on the right side of the frame behind a simple podium, delivering a presentation. A slide with the title "Podman" is projected on the wall. It states that Podman is a rootless alternative to Docker, developed by Red Hat. Additional points cover the architecture, security through SELinux and AppArmor, as well as supplementary tools like Buildah, Skopeo, runc, and crun.

On the left side of the room, there is a gray so…
In the same room, another person is now standing at the podium, giving a presentation. On the wall, a slide titled "$ whoami" is displayed. It features a circular photo of a person on a bicycle, along with text containing personal information: Philip Laine is of Swedish-Finnish descent, lives in Berlin, works as a developer, is the founder of the "ReFlektion" project, and was previously a maintainer of the "FLUX" tool. It’s also humorously noted that he was once nearly recruited by Microsoft.

…
@deprogrammaticaipsum@mas.to
2025-06-02 17:49:30

"The RDBMS field is so young, we can actually see it grow through the pages of computer magazines of the 1980s. BYTE Magazine had its first issue dedicated to databases in November 1981, and then another one in October 1984. Dr. Dobb’s Journal did not feature an article about databases until 1984 and did not have many more throughout the decade; actually most of them were authored by Gene Head, and talk about dBASE."

@lysander07@sigmoid.social
2025-05-28 05:10:40

Last week, we continued our #ISE2025 lecture on distributional semantics with the introduction of neural language models (NLMs) and compared them to traditional statistical n-gram models.
Benefits of NLMs:
- Capturing Long-Range Dependencies
- Computational and Statistical Tractability
- Improved Generalisation
- Higher Accuracy
@…

The image illustrates the architecture of a Neural Language Model, specifically focusing on Word Vectors II - Neural Language Models. It is part of a presentation on Natural Language Processing, created by the Karlsruhe Institute of Technology (KIT) and FIZ Karlsruhe, as indicated by their logos in the top right corner.

The diagram shows a neural network processing an input word embedding, represented by the phrase "to be or not to." The input is transformed into a d-sized vector representatio…