Deal of The Day! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions
Mail Us support@pass4success.com
Location PL
Mob_nav_barsMENU

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.

Show Suggested Answer Hide Answer
Suggested Answer: B, C

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

Limited Time Offer

25%

Off

Get Premium AI-102 Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel
Sabra
10 months ago
Lang makes a good point too. Using a custom large language model could really boost the quality.
upvoted 0 times
...
Lang
10 months ago
I beliLang training a custom large language model could also enhance the chatbot's responses.
upvoted 0 times
...
Yolande
10 months ago
That's a good point, Nobuko. It could help the chatbot learn specific patterns.
upvoted 0 times
...
Nobuko
10 months ago
I think adding sample request/response pairs could also be beneficial.
upvoted 0 times
...
Sabra
10 months ago
I agree with Yolande, fine-tuning the model seems like a good way to go.
upvoted 0 times
...
Yolande
10 months ago
I think fine-tuning the model could really help improve the responses.
upvoted 0 times
...
Emelda
10 months ago
Yeah, training a custom large language model might be beneficial in this case.
upvoted 0 times
...
Leah
10 months ago
Retraining the language model with our own data could also make the responses more accurate.
upvoted 0 times
...
Lenna
10 months ago
That's a good point, it would provide more context for the responses.
upvoted 0 times
...
Emelda
11 months ago
I believe adding sample request/response pairs can also enhance the chatbot's quality.
upvoted 0 times
...
Josphine
11 months ago
Agreed, fine-tuning the model can help tailor it to our specific needs.
upvoted 0 times
...
Lenna
1 years ago
I think we should fine-tune the model to improve chatbot responses.
upvoted 0 times
...
Alishia
1 years 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!
upvoted 0 times
Krissy
11 months ago
That's a good idea to provide more context.
upvoted 0 times
...
Sabra
11 months ago
Add sample request/response pairs.
upvoted 0 times
...
Paola
12 months ago
That could help improve the responses.
upvoted 0 times
...
Hermila
1 years ago
Fine-tune the model.
upvoted 0 times
...
...
Jamal
1 years 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.
upvoted 0 times
...
Latosha
1 years 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.
upvoted 0 times
...
Daron
1 years 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.
upvoted 0 times
...
Buffy
1 years 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.
upvoted 0 times
Susana
1 years ago
Training a custom LLM could give us more control, but it might need a lot of time and resources.
upvoted 0 times
...
Edna
1 years ago
E) Train a custom large language model (LLM).
upvoted 0 times
...
Jerry
1 years ago
D) Retrain the language model by using your own data.
upvoted 0 times
...
Miles
1 years ago
C) Add sample request/response pairs.
upvoted 0 times
...
Raymon
1 years ago
B) Provide grounding content.
upvoted 0 times
...
Susana
1 years ago
A) Fine-tune the model.
upvoted 0 times
...
...
William
1 years 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?
upvoted 0 times
...
Bettye
1 years ago
Haha, yeah, I don't think we want to become language model experts overnight. Let's stick to the simpler solutions, yeah?
upvoted 0 times
...
Louis
1 years 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.
upvoted 0 times
...
Denny
1 years 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.
upvoted 0 times
...
Katy
1 years 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.
upvoted 0 times
...

Save Cancel
az-700  pass4success  az-104  200-301  200-201  cissp  350-401  350-201  350-501  350-601  350-801  350-901  az-720  az-305  pl-300  

Warning: Cannot modify header information - headers already sent by (output started at /pass.php:70) in /pass.php on line 77