1_r/devopsish

Sign up for the GI Daily here to get the biggest news straight to your inbox At GDC 2023 this morning, New York Times e…

Tools and libraries to enable leveraging OCI registries for arbitrary artifacts

A 13-year-old girl died while five others were injured in a hit-and-run accident after a driver fled from Oakland County police.

Example recipes for Kubernetes Network Policies that you can just copy paste - GitHub - ahmetb/kubernetes-network-policy-recipes: Example recipes for Kubernetes Network Policies that you can just c...

Sign up for the GI Daily here to get the biggest news straight to your inbox Microsoft has unveiled the Xbox Developer …

More: https://program.foss-backstage.de/fossback23/talk/3YVUWH/ When we think about sustainability in open source we think that just throwing money at the p...

Microsoft's new tool will use OpenAI's DALL-E to create text-prompted images.

Log data is growing exponentially, and the boundary between log and analytical data is thinner than ever. Accordingly, logging ecosystem is evolving rapidly. In this post we look at various log collection, storage and value extraction systems in details. Read on for a deep dive.

Faster masks, less power.

Prompt Engineering, also known as In-Context Prompting, refers to methods for how to communicate with LLM to steer its behavior for desired outcomes without updating the model weights. It is an empirical science and the effect of prompt engineering methods can vary a lot among models, thus requiring heavy experimentation and heuristics. This post only focuses on prompt engineering for autoregressive language models, so nothing with Cloze tests, image generation or multimodality models.

This project is the repo for registry.k8s.io, the production OCI registry service for Kubernetes' container image artifacts - registry.k8s.io/README.md at main · kubernetes/registry.k8s.io

We are a fast-growing Kubernetes professional services company that prides itself on helping startups and enterprises alike in their path to modern cloud-native infrastructure

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Want to figure out the perfect metric by which to measure the success of your DevRel team? A metric which you report up to your leadership that's clear and concise? Those who have worked with me know that I am a fan of metrics, constantly iterating and testing new approaches to DevRel to try and

Map Kubernetes in-cluster traffic and export as text, intents, or an image - GitHub - otterize/network-mapper: Map Kubernetes in-cluster traffic and export as text, intents, or an image

Open-office designs create productivity and health problems. New insights from Deaf and autistic communities could fix them

Fedora 38 beta is here and it looks to once again prove this Linux desktop is ready for users of all kinds.

How to make it easier to launch command line utilities and GUI applications installed with flatpak

Recent text-to-image diffusion models such as MidJourney and Stable Diffusion threaten to displace many in the professional artist community. In particular, models can learn to mimic the artistic style of specific artists after "fine-tuning" on samples of their art. In this paper, we describe the design, implementation and evaluation of Glaze, a tool that enables artists to apply "style cloaks" to their art before sharing online. These cloaks apply barely perceptible perturbations to images, and when used as training data, mislead generative models that try to mimic a specific artist. In coordination with the professional artist community, we deploy user studies to more than 1000 artists, assessing their views of AI art, as well as the efficacy of our tool, its usability and tolerability of perturbations, and robustness across different scenarios and against adaptive countermeasures. Both surveyed artists and empirical CLIP-based scores show that even at low perturbation levels (p=0.05), Glaze is highly successful at disrupting mimicry under normal conditions (92%) and against adaptive countermeasures (85%).

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