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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?

36

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

42

How do you design prompts for generating specific outputs?

37

What are some best practices for crafting effective prompts?

32

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

29

Can you explain the difference between discriminative and generative models?

34

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

45

Why is data quality critical in Generative AI projects?

28

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

33

What techniques are used for handling noisy or incomplete data?

32

Explain the importance of tokenization in LLMs.

58

What is the role of vector embeddings in Generative AI?

26

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

33

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

37

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

38


Un-Answered Questions { Artificial Intelligence }

What is part of speech (pos) tagging?

824


What is an important feature of model capacity?

5


What is the jupyter center ?

416


Explain goal of artificial intelligence?

956


Explain the importance of tokenization in LLMs.

58


What is the best language to learn machine learning?

92


What is a dbscan?

187


What is simple artificial neuron?

1191


What learning rate should be used for backprop?

1245


What is logistic and linear regression?

302


Mention the difference between Data Mining and Machine learning?

136


Why do we implement ai in the robots?

878


Why do we prefer lstm over rnn?

836


Can you explain interpolation and extrapolation?

286


How will you design an email spam filter?

194