Evaluation Metrics for GenAI Models Explained | AIML™ End-to-End Session 232

🔍 In this AIML™ End-to-End Session 232, we explore Evaluation Metrics for Generative AI (GenAI) Models—from BLEU, ROUGE, METEOR, to F1-score, perplexity, and human evaluation techniques. Learn how to choose the right metric for text generation, image synthesis, and multimodal AI tasks.
Whether you're training an LLM, fine-tuning a model, or deploying GenAI in production, understanding model evaluation is critical for success.
🚀 What You'll Learn:
Core GenAI evaluation metrics
When and how to use them
Comparing quantitative vs. qualitative evaluations
Real-world examples from OpenAI, Google, and DeepMind
Evaluation strategies for image, text, and code generation
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