NCA-GENL exam dumps

NCA-GENL practice question 73 of 228

NVIDIA-Certified Associate - Generative AI LLMs. Associate level, NVIDIA. Free question with the correct answer and a full explanation.

NCA-GENL Question 73

Single answer

An e-commerce company wants to leverage a generative AI-powered Large Language Model (LLM) to support decision-making for inventory management. The company has a vast dataset of customer reviews, sales trends, and seasonal promotions. Which approach would most effectively support decision-making in this scenario?

  1. A

    Use the LLM to generate synthetic customer reviews to diversify the dataset for better insights.

  2. B

    Fine-tune the LLM with the company's historical sales data and customer reviews to identify patterns and predict inventory needs.

  3. C

    Rely solely on the LLM's pre-trained knowledge to generate inventory recommendations without additional data input.

  4. D

    Deploy the LLM to create automated email responses for customer inquiries instead of focusing on inventory management.

Show answer and explanation

Correct answer: B

Explanation

Fine-tuning the LLM with the company's historical sales data and customer reviews allows it to provide tailored insights and predictions specific to the e-commerce business. This approach ensures that the model's outputs are relevant and actionable for inventory decision-making. Using pre-trained LLM knowledge alone or focusing on unrelated tasks like email automation would not directly address the company's core objective.

  • A. Incorrect.

    Generating synthetic customer reviews may add diversity to the dataset, but it does not directly support decision-making for inventory management. It could introduce noise rather than actionable insights.

  • B. Correct.

    Fine-tuning the LLM with domain-specific data like sales trends and customer reviews allows the model to learn patterns specific to the company, making it suitable for predicting inventory needs and assisting in decision-making.

  • C. Incorrect.

    Using the LLM's pre-trained knowledge without incorporating company-specific data is unlikely to provide accurate or actionable inventory recommendations, as it lacks context about the company's unique operations and history.

  • D. Incorrect.

    While automated email responses are a valid use case for LLMs, this does not address the company's goal of improving inventory management and decision-making.

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