Câu 22: NCP-AAI: Agentic AI

An AI engineer at an oil and gas company is designing a multi-agent AI system to support drilling operations. Different agents are responsible for subsurface modeling, risk analysis, and resource allocation. These agents must share operational context, reason through interdependent planning steps, and justify their collaborative decisions using structured, transparent logic. The architecture must support memory persistence, sequential decision-making and chain-of-thought prompting across agents. Which implementation best supports this design?

1. A. Orchestrate NeMo agents via Triton, use vector memory for shared context, ReAct planning, and NeMo Guardrails for reasoning. — đáp án hiện tại
2. B. Use stateless LLM endpoints behind an API gateway and pass shared prompts across agents to simulate context and reasoning.
3. C. Use LangChain to coordinate third-party agent APIs and store shared information in external memory, with logic encoded in static prompt chains.
4. D. Fine-tune separate NeMo models for each agent role using LoRA, with pre-scripted action flows deployed via TensorRT for latency reduction.