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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

How do you prevent overfitting during fine-tuning?

79

What are some real-world applications of Generative AI?

56

What metrics do you use to evaluate the performance of a fine-tuned model?

39

What are the best practices for deploying Generative AI models in production?

51

How do you optimize LLMs for low-latency applications?

43

What challenges arise when scaling LLMs for large-scale usage?

71

How do you integrate Generative AI models with existing enterprise systems?

44

What is the role of containerization and orchestration in deploying LLMs?

43

What metrics are used to evaluate the quality of generative outputs?

42

How do you measure diversity and coherence in text generated by LLMs?

43

What is perplexity, and how does it relate to LLM performance?

64

How do you evaluate the impact of model updates on downstream applications?

37

How do foundation models support Generative AI systems?

56

What techniques can improve inference speed for LLMs?

48

How do you identify and mitigate bias in Generative AI models?

51


Un-Answered Questions { Artificial Intelligence }

How do you deal with performance degradation of a model over time (model drift)?

73


How can you find overfitting in tensforflow ? How can you avoid it ?

5


Explain types of clustering algorithm?

315


The game of Poker is a single agent. a) True b) False

6333


Why data science and data scientists are needed?

295


What is the significance of fairness in AI, and how do you define it?

1


Why is manhattan distance not used in knn machine learning algorithm to calculate the distance between nearest neighbors?

167


Why is model interpretability important?

67


What is your understanding of Artificial Intelligence?

59


What's the “kernel trick” and how is it useful?

89


 Which search algorithm will use limited amount of memory? a) RBFS b) SMA* c) Hill-climbing search algorithm d) Both a & b

2495


I need a MATLAB source code to recognize different regular geometric shapes such as: squares,rectangles,triangles,circles and ellipses in different sizes using neural network. All of the images containing these shapes should be in binary format with the size of 300*400 pixels. would you please give me a MATLAB code to detect these geometric shapes?

4590


What is logistic and linear regression? How do you treat multicollinearity and heteroscedasticity in regression? Name some packages in r and python for building regression models.

311


Explain the goal of a/b testing?

336


Explain supervised learning?

336