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Screenshots & Previews

Explore visual snapshots of the OpenVals AI Trust dashboards, multi-model leaderboards, and enterprise evaluation reports.

Trust Dashboard

A premium interactive reconstruction of the multi-model executive dashboard, illustrating how OpenVals displays recommended models, sub-scores, radar profiles, comparison bar charts, and deployment readiness signals.

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OpenValsAI Trust Intelligence Report
Comprehensive evaluation of AI models across trust, performance, and operational dimensions
Dataset:Finance
Models Evaluated:3
Configuration:finance
Generated:May 17, 2025 10:30 AM
Recommended Model
Llama3
Enterprise Ready
High Trust
DRS Score
0.89
Performance
0.87High
Trust Intelligence
0.91Very High
Infrastructure
0.82High
Governance
0.75Medium

TRUST INTELLIGENCE DASHBOARD

DRS 0.89Factuality 0.91Reliability 0.88Safety 0.92Consistency 0.87Hallucination 0.11Variance 0.19
Strong overall trust profile with low hallucination and variance.
Key Takeaways
Excellent factual accuracy and safety alignment
Low hallucination risk across evaluated scenarios
Consistent and reliable performance
Well-suited for enterprise-grade deployments

VISUAL INTELLIGENCE

Llama3
Mistral
Llama2
DRS Comparison
0.89
L3
0.83
Mis
0.71
L2
Latency (ms)
412
L3
645
Mis
1023
L2
Hallucination (%)
0.11
L3
0.21
Mis
0.48
L2
Accuracy (%)
91.2%
L3
87.3%
Mis
78.6%
L2
Llama3 leads in DRS, accuracy, and trust metrics while maintaining the lowest latency.

DEPLOYMENT READINESS

Ready for Production
Performance
Meets enterprise performance requirements
Reliability
High reliability across diverse scenarios
Safety
Strong safety alignment and guardrails
Infrastructure
Efficient resource utilization
Risk
Low risk profile detected

RISK OVERVIEW

LowRisk
Low Risk
72%
Medium Risk
21%
High Risk
7%
Overall risk level is low. Model is suitable for enterprise use with standard monitoring.

MODEL LEADERBOARD

RankModelAccSemFactRelSafetyLatencyDRS
🥇 1Llama391.2%0.880.910.880.92412ms0.89
🥈 2Mistral87.3%0.840.860.830.89645ms0.83
🥉 3Llama278.6%0.760.780.740.811023ms0.71

AI ADVISOR RECOMMENDATION

Recommended Model
Llama3
Why Recommended:Best overall balance of trust, performance, and efficiency. Highest DRS score with lowest hallucination and latency.
Trade-offs:Slightly higher compute usage compared to Mistral.
Confidence: 92%Enterprise Confidence
Built with OpenVals • AI Trust & Validation Framework
Developed by DrPinnacle

Single Model Executive Report

A premium interactive reconstruction of the single-model evaluation report view, demonstrating how OpenVals represents experimental models (like LFM 2.5) with lower DRS thresholds, sub-scores, and detailed executive summaries.

OpenVals

AI Trust Intelligence Report

Comprehensive evaluation of AI models across trust, performance, factuality, hallucination, and operational readiness.
Dataset: OpenVals Benchmark
Models Evaluated: 6
Configuration: Default
Generated: 2026-06-16 14:24:21
Recommended Model
lfm2.5-thinking:1.2b
DRS Score
0.576
Status
Experimental
Confidence
0.396
Performance
Model capability and response quality
0.642
Trust Intelligence
Reliability, factuality, safety, and HPI
0.812
Infrastructure
Compute, energy, and carbon metrics
N/A
Governance
Compliance and policy readiness
N/A
Executive Overview

Executive Summary

lfm2.5-thinking:1.2b demonstrated stable operational reliability, strong safety characteristics with a DRS score of 0.576.
Trust Classification:
Experimental

Dataset Validation CLI

A premium preview of the Dataset Validation CLI output, demonstrating how OpenVals verifies schema integrity, computes quality metrics, and evaluates dataset health status.

openvals -- validate-dataset
(openv)to-00016@chintu-00:~/Projects/openvals$openvals validate-dataset finance
🔍Validating dataset: finance
===================================
OpenVals Dataset Validation
===================================
Status : Healthy
Samples: 10
Schema Validation
Passed
Quality Validation
Empty Prompts: 0Empty Outputs: 0Duplicate Prompts: 0Short Prompts: 0Short Outputs: 0
Dataset Health Score:100
Health Status : Healthy
===================================
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