8 stories
Radar v1.8 adds an Applications view, rebuilt navigation and search, richer Helm operations, large-cluster performance improvements, and Prometheus over MCP.
We present HELM Arabic Enterprise, a leaderboard for transparent, reproducible evaluation of large language models on Arabic-language benchmarks designed around enterprise use cases.
Radar is an open-source Kubernetes UI with a built-in MCP server for AI agents. Run it locally against any kubeconfig or deploy it in-cluster with Helm.
As part of our efforts to better understand the multilingual capabilities of large language models (LLMs), we present HELM Arabic, a leaderboard for transparent and reproducible evaluation of LLMs on Arabic language benchmarks. This leaderboard was produced in collaboration with Arabic.AI.
We introduce the HELM Long Context leaderboard for transparent, comparable and reproducible evaluations of long context capabilities of recent models.
Introducing HELM Capabilities, a benchmark that evaluates language models across a curated set of key capabilities, providing a comparison of their strengths and weaknesses.
We introduce HELM Safety v1.0 as a collection of 5 safety benchmarks spanning 6 risk categories (violence, fraud, discrimination, sexual content, harassment, deception) and evaluate 24 prominent language models as an ongoing effort to standardize safety evaluations.
The Holistic Evaluation of Language Models (HELM) framework is an open source framework for reproducible and transparent benchmarking of language models that is widely adopted by academia and industry.
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