Course Summary

Knowing the whole generative AI lifecycle, from use case to deployment, is what makes a generative AI system robust and trustworthy. The course covered:

• Criteria for choosing a pre-trained model
• RAG and its business applications
• Cost trade-offs between prompt engineering, RAG, fine-tuning, and building from scratch
• Agents for multi-step tasks
• Evaluation methods and metrics for FMs