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How to Permanently Change Docker Directory Permissions on Linux
The post How to Permanently Change Docker Directory Permissions on Linux first appeared on Tecmint: Linux Howtos, Tutorials & Guides .
Docker is a powerful tool that allows you to run applications in isolated environments called containers. However, sometimes you may
The post How to Permanently Change Docker Directory Permissions on Linux first appeared on Tecmint: Linux Howtos, Tutorials & Guides.Security's Moving Parts 01: Linux Access Control Mechanisms - hackernoon.com
Security's Moving Parts 01: Linux Access Control Mechanisms hackernoon.com
What’s new with the command line interface in RHEL AI 1.4?
How many times have you had to start running a program on your terminal, and then… you’re just stuck there? Suddenly, you can’t close out your terminal or multi-task.Well, no more–kind of!With the release of Red Hat Enterprise Linux (RHEL) AI 1.4, Red Hat is introducing background process management for developer preview. This feature enables you to run the synthetic data generation (SDG) process in the background by allowing you to detach it from the terminal, spin off child processes to remain running in the background, monitor the status, reattach the process to bring it back and te
Unlocking the Effective Context Length: Benchmarking the Granite-3.1-8b Model
Large language models (LLMs) are evolving rapidly enabling applications such as chatbots, code generation, and knowledge extraction. One crucial factor influencing their effectiveness is the context length - the number of tokens a model can look at once. While theoretical context lengths continue to grow, the practical, effective context length (ECL) determines real-world usability.In this blog post, we will explore the ECL of the Granite-3.1-8b instruct model and validate its capabilities across various tasks. The study takes its inspiration from the paper "Measuring Effective Context Length
Introducing RHEL AI 1.4: Powering the Next Wave of Generative AI Innovation
The field of generative AI (gen AI) is evolving rapidly, and Red Hat Enterprise Linux AI (RHEL AI) is at the forefront of this transformation. RHEL AI 1.4 introduces support for a new, powerful Granite 3.1 model with multi-language support and a larger context window. The latest version also adds capabilities for evaluating customized and trained models with Document-Knowledge bench (DK-bench), a benchmark designed to measure the knowledge a model has acquired. Finally, we’re introducing the developer preview of our new graphical UI that helps to simplify data ingestion and writing InstructL
Empowering non-technical users to contribute knowledge and enhance model responses
In every release of our products, the User Experience Design team at Red Hat (UXD) prioritizes implementing work that directly relates to customer feedback and insights. For a nascent product like RHEL AI, we have had to be creative about doing so. Feedback channels we used for this upcoming release to help us continuously improve the experience include upstream community engagement and direct feedback from users via Slack, interviews with internal team members, interviews with AI users and enthusiasts who may be interested in adopting RHEL AI, and examining our competitive landscape. This has
Python 3.14 Alpha 5 Released With New Tail-Call Interpreter
Python 3.14 Alpha 5 is out today as the latest of many development releases in stepping toward the Python 3.14 stable release in October...
Healthy Competition With GCC 15 vs. LLVM Clang 20 Performance On AMD Zen 5
In the recent discussion over the GNU Gold linker being deprecated, there was the usual LLVM vs. GCC compiler/toolchain debate. Fortunately, with recently working on some initial benchmarks of the GCC 15 compiler I was following that up with some fresh LLVM Clang compiler comparison metrics on the same AMD Zen 5 hardware.
Intel CPU Microcode Updated For Five New Security Issues
Intel just published new CPU microcode for Alder Lake, Emerald Rapids, Ice Lake, Raptor Lake, Sapphire Rapids, Sierra Forest, and other platforms going back to Coffee Lake H. There are five new security issues being addressed plus a number of different functional issues being resolved...