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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

How do you ensure that your LLM generates contextually accurate and meaningful outputs?

46

What is prompt engineering, and why is it important for Generative AI models?

56

How do you design prompts for generating specific outputs?

49

What are some best practices for crafting effective prompts?

46

How do few-shot and zero-shot learning influence prompt engineering?

43

Can you explain the difference between discriminative and generative models?

46

Can you provide examples of how to structure prompts for a given use case?

63

Why is data quality critical in Generative AI projects?

42

How do you prepare and clean data for training a generative model?

45

What techniques are used for handling noisy or incomplete data?

42

Explain the importance of tokenization in LLMs.

71

What is the role of vector embeddings in Generative AI?

38

What are the benefits and challenges of fine-tuning a pre-trained model?

51

How do you decide whether to fine-tune or train a model from scratch?

47

What is reinforcement learning with human feedback (RLHF), and how is it applied?

51


Un-Answered Questions { Artificial Intelligence }

Differentiate between documented and undocumented knowledge. 3. How is knowledge collected?

3323


What laptop should I buy for machine learning?

89


Tell us when should you use classification over regression?

78


How would you test a machine learning system in production?

92


How do you handle missing or corrupted data in a dataset?

73


Which is not commonly used programming language for ai?

930


What is not represented by using propositional logic? a) Objects b) Relations c) Both a & b d) None of the mentioned

1768


What does "accelerating AI functions" mean, and why is it important?

48


What are brain-inspired AI architectures?

75


What are conjugate gradients, levenberg-marquardt, etc.?

1328


What is the return type of the function ID?

338


Explain the Algorithm Technique of Transduction in Machine Learning?

101


What are the areas in robotics and information processing where sequential prediction problem arises?

103


What are the disadvantages of deep learning?

1


Could you explain how to define the number of clusters in a clustering algorithm?

327