Artificial Intelligence Interview Questions, Answers for Freshers and Experienced asked in various Company Job Interviews

AI Algorithms (74)
AI Natural Language Processing (96)
AI Knowledge Representation Reasoning (12)
AI Robotics (183)

Artificial Intelligence Interview Questions

Questions Answers Views Company eMail

How can LLM hallucinations be identified and managed effectively?

562

What considerations are involved in processing for inference in LLMs?

621

What steps can be taken to measure, learn from, and celebrate success in Generative AI projects?

454

How can latency be reduced in LLM-based applications?

660

Why is it essential to observe copyright laws in LLM applications?

697

How can the costs of LLM inference and deployment be calculated and optimized?

617

What are the key elements to consider when creating user interfaces for LLM applications?

664

What strategies can simplify LLM development and deployment?

674

What is Generative AI, and how does it differ from traditional AI models?

Describe the Transformer architecture used in modern LLMs.

How do you balance innovation with practical business constraints?

How do you select the right model architecture for a specific Generative AI application?

What are the key differences between GPT, BERT, and other LLMs?

How would you adapt a pre-trained model to a domain-specific task?

What are some techniques to improve LLM performance for specific use cases?

Un-Answered Questions { Artificial Intelligence }

How does masking work in Transformer models?

713

What are the differences between data science, machine learning, and artificial intelligence?

293

How is AI used in procedural content generation?

How will you check if an element 25 is present in a vector?

384

Explain the difference between Supervised and Unsupervised Learning through examples.

342

How can outlier values be treated?

363

What is the lifetime of a variable?

Do you think that deep network is better than a shallow one?

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

What techniques are used for handling noisy or incomplete data?

How can AI improve the accuracy of medical diagnoses?

What is the difference between data mining and machine learning?

178

Which depends on the percepts and actions available to the agent? a) Agent b) Sensor c) Design problem d) None of the mentioned

4014

What are the differences between L1 and L2 regularization?

What was bayes’ theorem? How was it useful in a machine learning context?

152

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