A customer service manager wants to use generative Al to analyze emails sent to a help desk inbox, but is looking for a solution that does not consume an overly large amount of CPU power. Which type of GenAI model would be best suited for this task?
Homework Help: Questions and Answers: A customer service manager wants to use generative Al to analyze emails sent to a help desk inbox, but is looking for a solution that does not consume an overly large amount of CPU power. Which type of GenAI model would be best suited for this task?
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a) Small Language Model
b) Multimodal Model
c) Large Language Model
d) Computer Vision Model
e) I don’t know this yet
Answer:
First, let’s understand the question (task): The customer service manager wants to analyze emails sent to a help desk inbox using generative AI without consuming too much CPU power.
To solve this question, let’s analyze each option in the context of the given requirements:
Option Given: Step by Step Answer
a) Small Language Model
- These are designed for simpler language tasks, and they require less computational power.
- Small Language Models are good for basic text analysis and if the CPU consumption is a primary concern.
b) Multimodal Model
- These models can handle multiple types of data (text, images, audio), typically require more computational resources.
- It is not ideal since the task only involves text analysis (emails).
c) Large Language Model:
- These models are very powerful and can handle complex text analysis tasks, require significant computational resources.
- It is also not ideal since the task only involves simple text analysis (emails).
d) Computer Vision Model:
- These models are specialized for image and video analysis. It is irrelevant for text analysis tasks.
- Not suitable for text-based email analysis.
e) I don’t know this yet
- We’ll consider this if none of the other options seem correct.
Final Answer
Based on the above analysis, the correct answer is:
a) Small Language Model
Small Language Model (option a) is the best suited for the task of analyzing emails while consuming minimal CPU power.
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