1. Q1) What is the best approach to compete effectively in the GenAI space as a small or early-stage company?
2. Q2) What does the R.O.D.E.S. framework in prompt engineering stand for?
3. Q3) What is a key difference between a model, a workflow, and an agent in the GenAI system architecture?
4. Q4) According to the course, what is a core principle for making AI outputs useful and reliable?
5. Q5) What is the purpose of platforms like Make.com and n8n in the GenAI workflow?
6. Q6) What is a practical use of vector databases in GenAI applications?
7. Q7) What does “tool use” enable in AI agents?
8. Q8) What distinguishes agents from basic workflows in the GenAI stack?
9. Q9) What is the main value of using a memory layer in AI agents?
10. Q10) What is a good principle when embedding GenAI in a product?
