GENERATIVE-AI-ENGINEER-ASSOCIATE Question #80: Real Exam Question with Answer & Explanation

Question

A Generative AI Engineer needs to design an LLM pipeline to conduct multi-stage reasoning that leverages external tools. To be effective at this, the LLM will need to plan and adapt actions while performing complex reasoning tasks. Which approach will do this?

Options

• ATrain the LLM to generate a single, comprehensive response without interacting with any external
• BUse a Chain-of-Thought (CoT) prompting technique to guide the LLM through a series of
• CImplement a framework like ReAct, which allows the LLM to generate reasoning traces and
• DEncourage the LLM to make multiple API calls in sequence without planning or structuring the

Explanation

ReAct is a framework designed for complex reasoning tasks. It enables the LLM to plan, reason step-by-step, and adapt its actions during the process. ReAct allows the model to leverage external tools (such as APIs or databases) when necessary, making it ideal for tasks that require multi-stage reasoning and tool interaction.

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