AI ASSESSMENT
Solutions for AI Assessment & Optimization
Boost AI model accuracy by removing undesirable effects.
SOLUTIONS OVERVIEW
Build Trust in AI Training with the
Right Assessments
Measure against potential degradation, provide results attribution, and sharpen model accuracy.
Assess neural network training content
Measure AI Impact
Determine the value of AI training content with an accurate assessment of your model.
- Provide attribution for generated output of your AI/ML neural network
- Quantify specific impact on your AI results by content set, social media, or a licensed asset
- Gain easily understood contribution scores from training content within your neural network
Preserve model accuracy
Monitor & Detect AI Degradation
Measure AI accuracy over time to identify changes against baselines.
- Benefit from continuous, systematic and seamless analysis of the AI instance across time and versions
- Identify KPIs and set thresholds to detect and alert on unexpected internal changes before output results fail
- Assess impact of neural network training content on model behavior and performance
- Correct or remove undesirable content training effects from the AI instance without expensive retraining and delayed corrective releases
Optimize AI training content for impact
Modify & Optimize AI Effects
Preserve model accuracy by detecting degradation.
- Prune protected, erroneous, or low-performing content effects for continuous results improvement.
- Identify corresponding input stimulus and source training content within the data set
- Mitigate unwanted effects or output results by removal or modification from the AI model
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