5Optimize generative AI systems and model performance

• 5.1Optimizing RAG performance and accuracy

  Understand optimizing retrieval performance by tuning similarity thresholds, chunk sizes, and retrieval strategies; selecting and fine-tuning embedding models for domain-specific accuracy; hybrid search combining semantic and keyword retrieval; and evaluating and improving RAG with relevance metrics and A/B testing.

• 5.2Advanced fine-tuning and model customization

  Understand designing and implementing advanced fine-tuning methods, creating and managing synthetic data for fine-tuning, monitoring and optimizing fine-tuned model performance, and managing a fine-tuned model from development through production deployment.