📊 Model Evaluation

Master the art of measuring and improving model performance. Learn comprehensive evaluation techniques and metrics for AI systems.

What You'll Learn

• Evaluation methodologies and frameworks
• Performance metrics and benchmarks
• Testing strategies and validation
• Continuous improvement processes

Evaluation Framework

Holistic Evaluation

Effective model evaluation goes beyond accuracy - consider safety, bias, robustness, and real-world performance.

Topics Covered

📏 Evaluation Fundamentals

• Evaluation Overview
• Metrics Selection
• Benchmarking Strategies

🎯 Performance Metrics

• Accuracy Metrics
• Quality Assessment
• Efficiency Metrics
• User Experience Metrics

🔍 Testing Methodologies

• Unit Testing
• Integration Testing
• A/B Testing
• Stress Testing

🛡️ Safety & Reliability

• Safety Evaluation
• Bias Detection
• Robustness Testing
• Adversarial Testing

📈 Continuous Monitoring

• Performance Monitoring
• Drift Detection
• Automated Evaluation
• Feedback Loops

🔧 Evaluation Tools

• Testing Frameworks
• Evaluation Platforms
• Custom Metrics
• Reporting Tools

🎪 Human Evaluation

• Human-in-the-Loop
• Expert Review
• User Studies
• Crowdsource Evaluation

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