Projects
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Red Hat enterprise-specific benchmarks for coding agents: Why we built RH SWE-bench
Enterprise AI on your machine: Local inference and benchmarking with Red Hat AI Inference
From zero to benchmark: Deploying LLM inference on CPUs with Red Hat AI Inference
Benchmarking enterprise LLMs on AMD GPUs with Red Hat AI Inference and Podman
Beyond guardrails: mitigating prompt injection attacks
Auditing behavioral compliance: validating AI agent capabilities with AgentTrust
Who really built that? Supply-chain provenance for AI agent identity
Building skills for AI agents: pitfalls and best practices for skill development
Get a personal AI assistant on Red Hat Developer Sandbox with OpenClaw
MLOps at the edge: deploying AI models from cloud to GPU-powered edge devices with FlightCtl
Expanding AI beyond text: an introduction to vLLM-Omni
The last mile: from zero trust tokens to real-world resources
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