live wire
▸AI · EAGLE-4 0.1.4 fixes multi-GPU vLLM collective ordering during startupEAGLE-4▸SECURITY: Apache Camel 4.23.0, 4.22.2 and 4.18.5 fix eight component vulnerabilitiesApache Camel▸AI · Red Hat shows DRA doubles llm-d KV-cache throughput by aligning GPUs and RDMA NICsRed Hat Developer▸Red Hat Developer Hub 1.9.10 ships as a Critical security updateRed Hat errata▸OpenShift Dev Spaces 3.31 adds live editor switching and DevWorkspace Operator 1.0Red Hat documentation▸OpenShift Pipelines 1.24.1 tightens Manual Approval Gate RBAC and approval integrityRed Hat release notes▸AI · Red Hat survey: 97% of UK CIOs trust agent security, but 43% can trace data flowsRed Hat▸JAVA · IBM and Kaggle launch a living benchmark for agentic Java framework migrationsIBM Research▸AI · Red Hat tests policy-derived data controls for AI agentsRed Hat▸Apache Camel pattern turns routes into bounded LLM tools and MCP servicesRed Hat Developer▸Atos tunes small models on OpenShift AI for structured German-language analysisRed Hat Developer▸Red Hat publishes checklist for evaluating third-party OpenShift applicationsRed Hat Developer▸SECURITY · OpenShift 4.21.40 patches OpenSSL, OpenSSH and PCRE2 flawsRed Hat Product Security▸SECURITY · Apache Camel fixes A2A webhook SSRF gap in 4.22.2 and 4.23.0 (Oct. 23)Apache Camel▸AI · EAGLE-4 0.1.4 fixes multi-GPU vLLM collective ordering during startupEAGLE-4▸SECURITY: Apache Camel 4.23.0, 4.22.2 and 4.18.5 fix eight component vulnerabilitiesApache Camel▸AI · Red Hat shows DRA doubles llm-d KV-cache throughput by aligning GPUs and RDMA NICsRed Hat Developer▸Red Hat Developer Hub 1.9.10 ships as a Critical security updateRed Hat errata▸OpenShift Dev Spaces 3.31 adds live editor switching and DevWorkspace Operator 1.0Red Hat documentation▸OpenShift Pipelines 1.24.1 tightens Manual Approval Gate RBAC and approval integrityRed Hat release notes▸AI · Red Hat survey: 97% of UK CIOs trust agent security, but 43% can trace data flowsRed Hat▸JAVA · IBM and Kaggle launch a living benchmark for agentic Java framework migrationsIBM Research▸AI · Red Hat tests policy-derived data controls for AI agentsRed Hat▸Apache Camel pattern turns routes into bounded LLM tools and MCP servicesRed Hat Developer▸Atos tunes small models on OpenShift AI for structured German-language analysisRed Hat Developer▸Red Hat publishes checklist for evaluating third-party OpenShift applicationsRed Hat Developer▸SECURITY · OpenShift 4.21.40 patches OpenSSL, OpenSSH and PCRE2 flawsRed Hat Product Security▸SECURITY · Apache Camel fixes A2A webhook SSRF gap in 4.22.2 and 4.23.0 (Oct. 23)Apache Camel
upstreambeat.ai

open-source · since 2024

InstructLab

InstructLab

An open-source framework and command-line workflow for aligning and tuning language models with community-contributed taxonomy data. The archived core repository records the project's refactoring toward a framework SDK, with synthetic-data generation and training moved into dedicated repositories.

website ↗repository ↗Apache-2.0
AImodel tuningsynthetic dataalignment
desk notes

Verified 2026-08-31. The core GitHub repository is archived and read-only. Its September 2, 2025 community announcement directs synthetic-data generation to SDG Hub and training to Training Hub; the project site remains reachable.