GENERATIVE-AI-ENGINEER-ASSOCIATE · Question #1
GENERATIVE-AI-ENGINEER-ASSOCIATE Question #1: Real Exam Question with Answer & Explanation
The correct answer is A: It allows you to break down complex tasks into multiple independent subtasks. This enables the. Prompt chaining breaks down complex tasks into multiple smaller, sequential subtasks, allowing the assistant to handle each step methodically. This approach leads to more comprehensive and accurate responses by tackling each part of a problem in a structured way.
Question
A Generative AI Engineer has been reviewing issues with their company's LLM based question- answering assistant and has determined that a technique called prompt chaining could help alleviate some performance concerns. However, to suggest this to their team, they have to clearly explain how it works and how it can benefit their question-answering assistant. Which explanation do they communicate to the team?
Options
- AIt allows you to break down complex tasks into multiple independent subtasks. This enables the
- BIt allows you to reduce the latency of your applications. By having multiple chains participating in
- CIt allows you to decrease the effort involved in crafting a prompt. Chains make it possible to reuse
- DIt reduces the average cost of a typical request. Chains make more efficient use of the tokens
Explanation
Prompt chaining breaks down complex tasks into multiple smaller, sequential subtasks, allowing the assistant to handle each step methodically. This approach leads to more comprehensive and accurate responses by tackling each part of a problem in a structured way.
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