AI Applications Interview Questions, Answers for Freshers and Experienced asked in various Company Job Interviews

AI Applications Interview Questions

Questions Answers Views Company eMail

What are some open problems you find interesting?

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

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

Explain how transformers work.

How do you approach deployment of AI models?

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

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

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

Explain the concept of clustering.

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

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

How do autoencoders work, and what are their applications?

What are your favorite data visualization tools?

112

Discuss how AI could help with conservation efforts.

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

Un-Answered Questions { AI Applications }

What are the differences between L1 and L2 regularization?

103

What are some potential applications of AI in environmental sustainability for climate change mitigation?

How is adaptive learning implemented using AI?

What challenges do developers face in implementing AI in gaming?

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

How does AI assist in drug discovery processes?

How do you approach model selection and hyperparameter tuning?

What is LIME, and how does it aid in model interpretability?

How does cultural background impact AI ethics?

939

Can you describe the limitations of AI in educational settings?

What are the differences between batch gradient descent, stochastic gradient descent, and mini-batch gradient descent?

108

Explain the use of intelligent tutoring systems in education.

What are your strengths and weaknesses in AI?

Discuss the importance of cross-disciplinary knowledge in AI applications.

Explain algorithmic trading and the role of AI in it.

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