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 }

How would you handle imbalanced datasets?

What is the importance of explainability in safety-critical AI systems?

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How is AI used in fraud detection for credit card companies?

How does Explainable AI aid in fairness and bias detection in machine learning models?

Describe a time you had to explain a complex AI concept to a non-technical audience.

How can AI be used to detect cyber threats?

What are some potential applications of Neuromorphic Computing in computer vision for improved image recognition?

What is your understanding of Artificial Intelligence?

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

What is the biggest misconception people have about AI?

How do low-power AI models work in constrained environments?

Explain the concept of vehicle-to-everything (V2X) communication in AI.

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