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

AI Applications Interview Questions

Questions Answers Views Company eMail

Describe the concept of attention mechanisms in neural networks.

Compare and contrast CNNs and RNNs.

Imagine you're building a model for loan approvals. How do you make sure it doesn't discriminate?

How do you ensure that your models are fair and unbiased?

Describe different approaches to text-to-speech (TTS) synthesis?

Discuss the differences between Bayesian Networks and Markov Models.

How would you approach the design of an AI agent that is ethical by design?

What are some common NLP tasks?

What is the vanishing gradient problem in deep learning?

Explain the concept of backpropagation.

How do you deal with ambiguity in requirements when developing AI applications?

Describe different methods for model interpretability.

How can AI be used to improve weather prediction?

Describe a challenging AI project you worked on. What were the key learnings?

What is the relationship between AI and cognitive science?

Un-Answered Questions { AI Applications }

Can you describe the importance of model interpretability in Explainable AI?

Describe regularization techniques and why they're used.

What are the challenges in applying AI to healthcare?

What is the relationship between transparency and accountability in AI?

Explain the role of NLP in human-AI interaction.

What is the role of AI in drug discovery?

and how does it benefit students?

Explain the challenges associated with developing human-level AI.

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How can AI detect fraud in financial transactions?

How does the bias in training data affect the performance of AI models?

Explain the concept of SHAP and its role in XAI.

What is NPC AI, and how does it enhance gameplay?

Discuss the use of AI in radiology and imaging.

How would you test a machine learning system in production?

Can you explain how AI is used in education for adaptive learning?

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