redhat
By Matt Asay Everyone is doing AI, but no one knows why. That’s an overstatement, of course, but it feels like the market has hit peak hype without peak productivity. As Monte Carlo CEO Barr Moses highlights from a recent Wakefield survey, 91% of data leaders are building AI applications, but two-thirds of that same group said they don’t trust their data to large language models (LLMs). In other words, they’re building AI on sand. To be successful, we need to move beyond the confusing hype and help enterprises make sense of AI. In other words, we need more trust (open models) and fewer moving ...
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By Paul Krill Red Hat is extending its Lightspeed generative AI technology to work with the company’s Red Hat OpenShift hybrid cloud application platform as well as with Red Hat Enterprise Linux (RHEL). Announced May 7, Red Hat OpenShift Lightspeed and Red Hat Enterprise Linux Lightspeed will offer intelligent, natural language processing capabilities, intended to make OpenShift and RHEL easier for novices to use and more efficient for experienced professionals, Red Hat said. Red Hat OpenShift Lightspeed is slated for availability in late 2024. Red Hat Enterprise Linux is in the planning stage...
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By Paul Krill Red Hat has unveiled Podman AI Lab, an extension to the Podman Desktop graphical interface that lets developers build generative AI-powered applications in containers. Announced May 7, Podman AI Lab is intended to make it easier to develop with AI in a local environment. The Podman AI Lab extension supports the adoption of generative AI for building intelligent applications or enhancing their workflow using AI-augmented development capabilities, Red Had said. Instructions for installing the Podman AI Lab extension can be found at developers.redhat.com. Podman AI Lab’s companion, ...
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By Paul Krill Red Hat has launched Red Hat Enterprise Linux AI (RHEL AI), described as a foundation model platform that allows users to more seamlessly develop and deploy generative AI models. Announced May 7 and available now as a developer preview, RHEL AI includes the Granite family of open-source large language models (LLMs) from IBM, InstructLab model alignment tools based on the LAB (Large-Scale Alignment for Chatbots) methodology, and a community-driven approach to model development through the InstructLab project, Red Hat said. The entire solution is packaged as a bootable RHEL image f...
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By Serdar Yegulalp Microservices architectures solve some problems but introduce others. Dividing applications into independent services simplifies development, updates, and scaling. But it also gives you many more moving parts to connect and secure. Managing all the network services—load balancing, traffic management, authentication and authorization, and so on—can become stupendously complex. The term for this networked space between the services in your Kubernetes cluster is service mesh. A Google project, Istio, is all about providing a way to manage your cluster’s service mesh before it t...
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