news
Red Hat and Fedora Leftovers
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Red Hat Official ☛ Unlocking telecommunication transformation with Red Hat OpenShift Service on AWS
FX, inflation and SKU price adjustments are not considered during the modeling period.
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Red Hat ☛ SDG Hub: Building synthetic data pipelines with modular blocks
Large language models (LLMs) today rely on synthetic data at every stage. This includes pre-training with billions of synthetic tokens (e.g., Cosmopedia), instruction-tuning with synthetic SFT (supervised fine tuning) datasets (e.g., LAB, Tülu3, Orca), and evaluation with benchmarks powered by LLM-as-a-judge (e.g., MT-Bench, AlpacaEval).
Why use synthetic data?
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Red Hat ☛ AI accelerator selection for inference: A stage-based framework
As enterprises move from model experimentation to production-scale AI, the choice of accelerator becomes a critical factor for performance and cost. This article provides a stage-based framework for selecting the right Hey Hi (AI) hardware for each phase of the inference lifecycle. In many cases, it involves additional challenges such as balancing performance, cost, and deployment constraints.
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Red Hat ☛ Multimodal Hey Hi (AI) at the edge: Deploy vision language models with RamaLama [Ed: Promoting hype and lies]
The frontier of Hey Hi (AI) is no longer just in the data center; it's on the factory floor, in our retail stores, in public infrastructure, and in the smart devices all around us. Driving this shift are vision language models (VLMs), a revolutionary class of Hey Hi (AI) that can interpret and reason about images and videos. The potential is immense, but any developer who has tried to deploy these models at the edge knows the harsh reality: it's a battle against dependency hell, driver incompatibilities, and inconsistent environments.
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Sam Thursfield: Slow Fedora VMs
Good morning!
I spent some time figuring out why my build PC was running so slowly today. Thanks to some help from my very smart colleagues I came up with this testcase in Nushell to measure CPU performance: [...]
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Qubes OS 4.3.0-rc3 is available for testing
We’re pleased to announce that the third release candidate (RC) for Qubes OS 4.3.0 is now available for testing. This minor release includes many new features and improvements over Qubes OS 4.2.