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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

What are some of the major challenges facing AI research today?

67

Explain the principles behind Genetic Algorithms and how they can be used for AI optimization.

56

Explain how transformers work.

59

How do you approach deployment of AI models?

66

How would you go about finding the best model for a given task?

65

How can quantum AI help solve problems that are difficult for classical AI?

50

Discuss the different types of generative adversarial networks (GANs) and how they work.

61

Explain the concept of clustering.

52

Why is it beneficial to run AI models on edge devices (IoT)?

61

What are the pros and cons of using cloud-based versus on-premise solutions for AI?

71

How do autoencoders work, and what are their applications?

62

What are your favorite data visualization tools?

90

Discuss how AI could help with conservation efforts.

77

How do you collaborate with other team members on AI projects?

58

What are the main components of an autonomous system?

63


Un-Answered Questions { Artificial Intelligence }

Choose any machine learning algorithm and describe it.

251


Is google a artificial intelligence?

951


What is the benefit of naïve bayes mcq?

73


What is your understanding of Artificial Intelligence?

55


Given 2 vectors, how will you generate a sorted vector?

303


How can the costs of LLM inference and deployment be calculated and optimized?

617


What are the tensorflow operations?

3


Explain data formats in tensorflow?

1


What are the different methods for Sequential Supervised Learning?

103


What is Syntax for Specifying the Kind of Knowledge?

61


Explain recommender system?

289


How do reinforcement learning algorithms improve gaming AI?

61


Comparision between Machine Learning and Big Data?

116


Explain Data Science Vs Machine Learning?

310


Explain how quantum optimization can solve complex problems faster than classical algorithms.

55