Evaluation Framework
Our comprehensive evaluation system analyzes LLM responses across multiple dimensions
Medical Quality
Evaluates medical accuracy, completeness, context awareness, communication quality, and terminology accessibility
- • Medical Accuracy Assessment
- • Completeness Evaluation
- • Context Awareness Analysis
- • Communication Quality Review
- • Terminology Accessibility Check
Semantic Similarity
Measures semantic alignment between LLM responses and gold standard answers using advanced NLP metrics
- • Cosine Similarity Analysis
- • BERT Score F1 Evaluation
- • Semantic Similarity Scoring
- • Vyakyarth Similarity Metrics
- • Cross-metric Correlation
Linguistic Quality
Analyzes language fluency, grammar, readability, and overall linguistic quality of responses
- • BLEU Score Assessment
- • METEOR Score Analysis
- • ROUGE-L Score Evaluation
- • Linguistic Quality Metrics
- • Readability Analysis
How It Works
Dataset Selection
Choose from multiple medical QA datasets to evaluate LLM performance across different medical domains and question types.
Multi-Model Comparison
Compare responses from multiple LLM models against gold standard answers using our comprehensive evaluation framework.
Comprehensive Analysis
Get detailed insights through interactive visualizations, performance metrics, and comparative analysis across all evaluation dimensions.