🦖 Dinosaur Tests v1 & v2
Complete benchmarks: 58 AI models tested with in-depth capability evaluation
🎯 Advanced Benchmarks
In-depth and specialized tests for AI capability evaluation
📱 Practical Applications
AI-generated applications for practical testing and functional evaluation
🔬 Scientific Methodology
Our rigorous approach to evaluating artificial intelligence models
Standardized Test Protocol
Each model is evaluated according to a rigorous and reproducible methodology
1
📝 Code Generation
Static analysis of generated code, unit tests and algorithmic complexity evaluation
Qualité: 95%
Performance: 88%
2
🎯 Semantic Precision
Evaluation of response relevance to questions and context
Exactitude: 92%
Pertinence: 89%
3
⚡ Temporal Performance
Measurement of response times, latency and load management capacity
Vitesse: 1.2s
Stabilité: 96%
4
🔄 Contextual Coherence
Ability to maintain context over long conversations and complex interactions
Mémoire: 85%
Consistance: 91%
🏆 Evaluation Standards
Reproducibility
Tests repeated 3+ times for validation
Quantitative Metrics
Objective and comparable numerical scores
Human Evaluation
Validation by domain experts
Comparative Benchmarking
Relative analysis to reference models