Artificial Intelligence (AI) Online Test »GPT, LLM, NLP, IoT

Artificial Intelligence (AI) Online Test

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Created by 83a36dcfd5c4caff12bc80f0020c9c749e12cbbbdb7c406dc1dd39996cb85836?s=32&d=monsterid&r=g gkaimVikash chaudhary

This 'Artificial Intelligence (AI) Online Test' covers questions across all the topics related to Artificial Intelligence like Robotics, LLM, GPT, NLP, IoT, etc

Get fresh, new questions in each attempt.

  • Total Questions: 30
  • Time Allotted: 30 minutes
  • Passing Score: 50%
  • Randomization: Yes
  • Certificate: Yes
  • Do not refresh the page!
  • 👍 All the best!

1 / 30

1. What is one advantage of using MATLAB for GAN development?

2 / 30

2. What is one of the benefits of using GANs in generating synthetic data?

3 / 30

3. Which cloud AI service provides Watson Assistant, a platform for building AI-powered virtual agents and chatbots that can engage in natural language conversations?

4 / 30

4. Which limitation of Artificial Intelligence is related to the challenge of ensuring that Artificial Intelligence systems operate reliably and predictably in diverse and dynamic environments?

5 / 30

5. Which aspect of AI can pose a limitation due to the lack of transparency in how AI systems make decisions?

6 / 30

6. What term refers to the use of AI techniques to analyze data from various sources, such as social media, customer interactions, and market trends, to gain insights into consumer behavior and preferences?

7 / 30

7. Which cloud AI service provides QnA Maker, a service for creating question-and-answer bots that can extract answers from structured or unstructured content?

8 / 30

8. What is one advantage of using PyTorch for GAN development?

9 / 30

9. In self-driving cars, what is the primary role of Artificial Intelligence techniques?

10 / 30

10. What role does PyTorch play in GAN development?

11 / 30

11. Which Python library provides high-level neural network APIs for building and training GANs?

12 / 30

12. Which Artificial Intelligence technique is commonly used in medical imaging diagnosis to assist radiologists in interpreting images and detecting abnormalities?

13 / 30

13. Which term describes the process in a GAN where the generator tries to improve its performance based on the feedback from the discriminator?

14 / 30

14. Which approach is commonly used to improve the accuracy of instance segmentation models by incorporating contextual information from neighboring pixels?

15 / 30

15. Which AI technique involves training models to make decisions based on feedback from the environment, typically used in scenarios where an agent interacts with an environment to achieve a goal?

16 / 30

16. Which programming language is commonly associated with the TensorFlow framework?

17 / 30

17. What term refers to the use of AI techniques to personalize user experiences, recommend products or services, and optimize customer interactions in digital marketing?

18 / 30

18. What challenge arises from the potential for Artificial Intelligence systems to reinforce or perpetuate existing social inequalities or biases present in the training data?

19 / 30

19. In industrial automation, which AI-based approach focuses on improving product quality by analyzing and adjusting manufacturing processes in real-time?

20 / 30

20. What challenge arises from the inability of AI systems to generalize beyond the specific tasks they were trained on?

21 / 30

21. Which Artificial Intelligence technique is commonly used in fraud detection to identify fraudulent activities by modeling the underlying probability distribution of normal behavior?

22 / 30

22. In personalized medicine, which AI-based approach utilizes patient-specific data to predict the most effective treatment options or dosages?

23 / 30

23. What is one advantage of using Python for deep learning development?

24 / 30

24. Which component is responsible for managing input and output operations between a computer system and external devices?

25 / 30

25. Which programming language is commonly associated with the DL4J (Deep Learning for Java) framework?

26 / 30

26. Which Artificial Intelligence application in fraud detection focuses on verifying the identity of individuals through biometric data or authentication mechanisms?

27 / 30

27. Which Artificial Intelligence technique is commonly used in personalized medicine to analyze large-scale genomic data and identify genetic variations associated with disease risk or treatment response?

28 / 30

28. What term refers to the use of AI techniques to analyze supply chain data, optimize logistics operations, and enhance supply chain visibility and resilience?

29 / 30

29. What term refers to the use of AI techniques to analyze genomic data, identify genetic variations, and understand the genetic basis of diseases and disorders?

30 / 30

30. What challenge arises from the potential for Artificial Intelligence systems to generate outputs or recommendations that are difficult for humans to understand or trust?

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