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 US
Mob_nav_barsMENU

Dell EMC Exam D-GAI-F-01 Topic 3 Question 2 Discussion

Actual exam question for Dell EMC's D-GAI-F-01 exam
Question #: 2
Topic #: 3
[All D-GAI-F-01 Questions]

In Transformer models, you have a mechanism that allows the model to weigh the importance of each element in the input sequence based on its context.

What is this mechanism called?

Show Suggested Answer Hide Answer
Suggested Answer: B

In Transformer models, the mechanism that allows the model to weigh the importance of each element in the input sequence based on its context is called the Self-Attention Mechanism. This mechanism is a key innovation of Transformer models, enabling them to process sequences of data, such as natural language, by focusing on different parts of the sequence when making predictions1.

The Self-Attention Mechanism works by assigning a weight to each element in the input sequence, indicating how much focus the model should put on other parts of the sequence when predicting a particular element. This allows the model to consider the entire context of the sequence, which is particularly useful for tasks that require an understanding of the relationships and dependencies between words in a sentence or text sequence1.

Feedforward Neural Networks (Option OA) are a basic type of neural network where the connections between nodes do not form a cycle and do not have an attention mechanism. Latent Space (Option C) refers to the abstract representation space where input data is encoded. Random Seed (Option OD) is a number used to initialize a pseudorandom number generator and is not related to the attention mechanism in Transformer models. Therefore, the correct answer is B. Self-Attention Mechanism, as it is the mechanism that enables Transformer models to learn contextual relationships between elements in a sequence1.


by Blondell at Aug 04, 2024, 02:56 PM

Limited Time Offer

25%

Off

Get Premium D-GAI-F-01 Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel
Julio
6 months ago
I believe it's B) Self-Attention Mechanism because it allows the model to focus on relevant parts of the input sequence.
upvoted 0 times
...
Louvenia
6 months ago
Latent Space? What is this, some kind of magical realm where the model hides its secrets?
upvoted 0 times
Candida
5 months ago
The mechanism that allows the model to weigh the importance of each element in the input sequence is called Self-Attention Mechanism.
upvoted 0 times
...
Kristine
5 months ago
No, latent space is not related to Transformer models.
upvoted 0 times
...
...
Tambra
6 months ago
Self-Attention Mechanism, of course! It's the secret sauce that makes Transformers so powerful.
upvoted 0 times
Ettie
5 months ago
That's right, it helps the model weigh the importance of each element based on context.
upvoted 0 times
...
Amira
5 months ago
I agree, it allows the model to focus on different parts of the input sequence.
upvoted 0 times
...
Tarra
6 months ago
Self-Attention Mechanism, definitely the key to Transformer models.
upvoted 0 times
...
...
Rebbecca
6 months ago
I'm not sure, but I think it's either A) Feedforward Neural Networks or B) Self-Attention Mechanism.
upvoted 0 times
...
Denny
7 months ago
I agree with Kati, Self-Attention Mechanism makes sense for weighing importance.
upvoted 0 times
...
Marshall
7 months ago
Haha, 'Random Seed'? Really? That's like mixing up a transformer with a slot machine!
upvoted 0 times
Dortha
6 months ago
Haha, 'Random Seed'? Really? That's like mixing up a transformer with a slot machine!
upvoted 0 times
...
Jina
6 months ago
B) Self-Attention Mechanism
upvoted 0 times
...
Lashandra
6 months ago
D) Random Seed
upvoted 0 times
...
Hyman
6 months ago
C) Latent Space
upvoted 0 times
...
Ivette
6 months ago
B) Self-Attention Mechanism
upvoted 0 times
...
Clorinda
7 months ago
A) Feedforward Neural Networks
upvoted 0 times
...
...
Kati
7 months ago
I think the mechanism is called Self-Attention Mechanism.
upvoted 0 times
...

Save Cancel