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?

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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 hardware constraints to consider when developing Edge AI applications?

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How can AI help educators with curriculum development?

How does text-to-speech AI work?

Can AI improve weather prediction models?

How can AI help reduce carbon footprints?

Discuss how AI is used to identify vulnerabilities.

Explain the concept of active learning and when it's useful.

Can you describe a time when an AI project didn't go as planned and how you adapted?

How does AI enhance the behavior of non-player characters (NPCs)?

How does AI aid in medical imaging analysis for disease diagnosis?

Can you explain the concept of feature attribution in Explainable AI?

How would you preprocess image data for training a CNN?

Discuss the tension between accuracy and interpretability.

How can AI help financial institutions with stock price prediction?

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What is gradient descent, and how does it work?

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