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 }

What are some AI algorithms that can make NPCs (non-player characters) more believable?

How does human feedback improve AI models?

How is adaptive learning implemented using AI?

How does AI impact urban mobility and smart cities?

What are the differences between knowledge representation methods like Semantic Networks and Ontologies?

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Explain the working of the Viterbi Algorithm and its use in Hidden Markov Models (HMMs).

How can AI help lawyers with contract analysis?

Discuss a project where you've implemented AI solutions.

What are your thoughts on the use of AI in the military?

Can you describe an example of how Explainable AI is used in healthcare for medical diagnosis?

How does XAI relate to transparency and accountability?

What tools and frameworks are you comfortable with?

What are some applications of AI in smart agriculture?

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

Can you describe the importance of Edge AI for real-time processing and decision-making?

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