📏 Benchmarks and Standards at Gloo AI

Gloo AI is committed to building transparent, value-aligned, and rigorous evaluation systems for large language models. Our benchmarks are not just technical—they are human, faith-aware, and centered on real-world use in communities.

✅ What We’re Building

We’re developing a shared benchmark framework that is:

Open: Designed to invite contribution from the wider faith-tech and AI ethics community
Collaborative: Built alongside values-aligned partners, not just for internal use
Multidimensional: Goes beyond accuracy to measure value alignment, relevance, and judgment

🧠 What We Evaluate

Each model is scored against a broad range of criteria across three primary dimensions:

Objective – factual correctness, reasoning quality
Subjective – tone, empathy, value alignment
Tangential – off-topic drift, misunderstanding, or indirect errors

🔍 Our Testing Approach

~3,000+ curated evaluation prompts mapped to 7 dimensions of human flourishing
Faith-specific QA and worldview-sensitive questions sourced from real communities
Evaluated by LLMs and humans, with checks for model self-awareness and consistency
Support for comparing open-source and proprietary models side-by-side

We run evaluations across top models like Gemini, DeepSeek, Mistral, Grok, and others to identify strengths, failure modes, and opportunities for alignment.

📊 Results That Matter

Our benchmark results are designed to:

Inform partners choosing models for high-trust environments
Guide internal training and fine-tuning decisions
Track changes over time as the AI landscape evolves
Provide transparent model performance reports for trust-building

🧰 Tools You Can Use

We’re also building tools for:

Automating model evaluation at scale
Embedding benchmarks into CI/CD pipelines for ML
Visualizing results across multiple dimensions and LLM types

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We're not just measuring what models can say — we're measuring what they should say, and how well they serve the communities we care about.