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?

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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