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. Which type of processing unit is more suitable for general-purpose computing tasks, including data preprocessing and postprocessing?

2 / 30

2. Which Artificial Intelligence technique is commonly used in service robots to process natural language input from users and generate appropriate responses?

3 / 30

3. Which task in face recognition focuses on detecting and localizing faces within images or video frames?

4 / 30

4. Which component is responsible for rendering graphics and accelerating parallel processing tasks in a computer system?

5 / 30

5. Which AI-based technique is used in personalized medicine to predict individual patient responses to specific medications based on genetic factors?

6 / 30

6. In which field is Artificial Intelligence commonly used to improve customer service through chatbots and virtual assistants?

7 / 30

7. What challenge arises from the potential for AI systems to exhibit unintended or unforeseen behaviors, particularly in complex or dynamic environments?

8 / 30

8. Which limitation of Artificial Intelligence is related to the challenge of ensuring that Artificial Intelligence systems behave ethically and responsibly in their interactions with humans and society?

9 / 30

9. Which limitation of AI is related to the challenge of ensuring transparency and accountability in AI systems' decision-making processes?

10 / 30

10. In medical imaging diagnosis, which Artificial Intelligence application aims to automatically segment organs and tissues from medical images?

11 / 30

11. In self-driving cars, which Artificial Intelligence technique is commonly used to integrate information from multiple sensors and sources to create a unified representation of the vehicle's surroundings?

12 / 30

12. Which object detection algorithm utilizes a fixed set of default bounding boxes to predict object locations and categories?

13 / 30

13. Which programming language is commonly used for numerical computing and data analysis in scientific research?

14 / 30

14. What challenge arises from the potential for AI systems to make decisions based on biased or incomplete data, leading to unfair or discriminatory outcomes?

15 / 30

15. Which AI application involves using algorithms to analyze customer data, identify patterns, and predict future behaviors or purchasing trends to optimize marketing strategies?

16 / 30

16. Which AI application involves using algorithms to understand and interpret human emotions, sentiments, and intentions expressed in text, speech, or images?

17 / 30

17. Which limitation of Artificial Intelligence is related to the challenge of ensuring transparency and accountability in Artificial Intelligence systems' decision-making processes?

18 / 30

18. What challenge arises from the potential for AI systems to exhibit biases or discrimination in their decision-making processes, particularly against certain demographic groups?

19 / 30

19. What challenge arises from the potential for AI systems to exhibit unintended behaviors or consequences that were not anticipated during development?

20 / 30

20. What is one advantage of using Keras for deep learning development?

21 / 30

21. In what way can the lack of diversity in training data affect the performance of AI models?

22 / 30

22. Which AI application involves using algorithms to analyze patient data, medical records, and clinical outcomes to improve healthcare delivery, patient outcomes, and population health management?

23 / 30

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

24 / 30

24. Which Artificial Intelligence technique is commonly used in fraud detection to assign fraud scores to transactions based on their likelihood of being fraudulent?

25 / 30

25. Which Artificial Intelligence application in algorithmic trading focuses on executing trades at high speeds and frequencies to capitalize on small price discrepancies?

26 / 30

26. What is one advantage of using PyTorch for deep learning development?

27 / 30

27. Which cloud AI service offers Forecast, a service for building time-series forecasting models using machine learning?

28 / 30

28. Which Artificial Intelligence technique is commonly used in personalized medicine to analyze electronic health records and predict patient outcomes or disease trajectories?

29 / 30

29. Which limitation of Artificial Intelligence is related to the challenge of ensuring that Artificial Intelligence systems' decisions are transparent and explainable?

30 / 30

30. Which programming language is commonly associated with the Theano library?

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