What is orchestration in the context of AI agents, and what key components does it coordinate?

What is the main drawback of relying only on a rolling context window for memory?

What advantages does GraphRAG offer over baseline RAG, especially for complex queries?

Compare and contrast Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), and Reinforcement Learning with Verifiable Rewards (RLVR).

What is the key difference between democratic coordination and manager coordination in multiagent systems? What are the trade-offs of each approach?

What are the primary benefits of starting with a single-agent system, and under what conditions should you consider transitioning to a multiagent architecture?

Why is rigorous measurement and validation important for agentic systems, and what happens if these practices are not followed?

What is coherence testing in the context of agentic systems, and why is it particularly important for multiturn conversations?

What is prompt injection, and how does it differ from indirect prompt injection? Provide an example of each.

What is the difference between automated issue detection and root cause analysis (RCA)? Describe the key steps involved in effective RCA.