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Microsoft Exam AI-102 Topic 3 Question 60 Discussion

Actual exam question for Microsoft's AI-102 exam
Question #: 60
Topic #: 3
[All AI-102 Questions]

You build a chatbot that uses the Azure OpenAI GPT 3.5 model.

You need to improve the quality of the responses from the chatbot. The solution must minimize development effort.

What are two ways to achieve the goal? Each correct answer presents a complete solution.

NOTE: Each correct answer is worth one point.

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Suggested Answer: B, C

by Merlyn at Apr 09, 2024, 12:28 PM

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Sabra
7 months ago
Lang makes a good point too. Using a custom large language model could really boost the quality.
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Lang
7 months ago
I beliLang training a custom large language model could also enhance the chatbot's responses.
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Yolande
7 months ago
That's a good point, Nobuko. It could help the chatbot learn specific patterns.
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Nobuko
7 months ago
I think adding sample request/response pairs could also be beneficial.
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Sabra
7 months ago
I agree with Yolande, fine-tuning the model seems like a good way to go.
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Yolande
7 months ago
I think fine-tuning the model could really help improve the responses.
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Emelda
8 months ago
Yeah, training a custom large language model might be beneficial in this case.
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Leah
8 months ago
Retraining the language model with our own data could also make the responses more accurate.
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Lenna
8 months ago
That's a good point, it would provide more context for the responses.
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Emelda
8 months ago
I believe adding sample request/response pairs can also enhance the chatbot's quality.
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Josphine
9 months ago
Agreed, fine-tuning the model can help tailor it to our specific needs.
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Lenna
9 months ago
I think we should fine-tune the model to improve chatbot responses.
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Alishia
10 months ago
I was eyeing that option to train a custom large language model (LLM), but that just seems way too ambitious for this particular use case. Talk about going overboard!
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Krissy
9 months ago
That's a good idea to provide more context.
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Sabra
9 months ago
Add sample request/response pairs.
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Paola
9 months ago
That could help improve the responses.
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Hermila
9 months ago
Fine-tune the model.
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Jamal
10 months ago
I'm leaning towards the grounding content and sample request/response pairs options. They seem like the most straightforward ways to improve the chatbot's responses without too much hassle.
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Latosha
10 months ago
I was considering retraining the language model using our own data, but that sounds like it could be a ton of work. Plus, I'm not sure if that's really minimizing the development effort.
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Daron
10 months ago
Agreed. I think fine-tuning the model or adding sample request/response pairs are our best bets here. Though I do wonder if we can sneak in a few dad jokes while we're at it, you know, to really make the chatbot shine.
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Buffy
10 months ago
Wait, can we just train a custom LLM from scratch? That sounds like it would give us the most control over the model's behavior. Although, it might take a lot of time and resources.
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Susana
10 months ago
Training a custom LLM could give us more control, but it might need a lot of time and resources.
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Edna
10 months ago
E) Train a custom large language model (LLM).
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Jerry
10 months ago
D) Retrain the language model by using your own data.
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Miles
10 months ago
C) Add sample request/response pairs.
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Raymon
10 months ago
B) Provide grounding content.
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Susana
10 months ago
A) Fine-tune the model.
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William
10 months ago
I'm a little worried that fine-tuning the model might be too much work. Wouldn't it be easier to just add some sample data and let the model learn from that?
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Bettye
10 months ago
Haha, yeah, I don't think we want to become language model experts overnight. Let's stick to the simpler solutions, yeah?
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Louis
10 months ago
Adding sample request/response pairs seems like a smart move. We can feed the model some examples of the kind of interactions we want, and it should be able to learn from that.
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Denny
10 months ago
I think providing grounding content could be a good option. We can give the model some context and background information to help it generate more relevant and coherent responses.
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Katy
10 months ago
Wow, this is a tricky one! I'm not sure if I can fine-tune the model without a ton of data and processing power. And retraining the whole language model seems like overkill for just improving the chatbot's responses.
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