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DECI - M3 - W4 - Round2

Authored by Mustafa Elaraby

Computers

Professional Development

Used 46+ times

DECI - M3 - W4 - Round2
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11 questions

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1.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

What is the primary purpose of Chatbots in the context of NLP?

Organizing emails into different folders

Analyze complex scientific data

Suggesting corrections for spelling or grammar mistakes

Chatting with users like a real person

2.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

How are clusters formed in clustering?

By randomly assigning objects to groups

By dividing data into equal-sized partitions

By identifying similarities between objects

By arranging data in numerical order

3.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

What technology helps some Chatbots choose responses during conversations?

Neural networks

Decision trees

Genetic algorithms

Quantum computing

4.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

What determines the responses of Chatbots in some cases?

Machine learning algorithms

Rules defined by developers

Random selection

User emotions

5.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

Which model is considered one of OpenAI's achievements in recent years?

LSTM

CNN

GPT

SVM

6.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

Which type of learning is based on unlabelled data Only?

Supervised learning

Unsupervised learning

Semi-supervised learning

Reinforcement learning

7.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

What is the key characteristic of fine-tuning?

Relying solely on pre-trained data

Avoiding feedback from human reviews

Taking feedback and improving the model iteratively

Skipping the training stage altogether

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