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

Artificial Intelligence Interview Questions

Questions Answers Views Company eMail

What key terms and concepts should one understand when working with LLMs?

Which developer tools and frameworks are most commonly used with LLMs?

Why is data governance critical in managing LLMs?

How can governance be extended to all data types?

What steps are involved in defining the use case and scope of an LLM project?

How can one select the right LLM for a specific project?

What factors should be considered when comparing small and large language models?

What strategies can be used to adapt LLMs to a specific use case?

What are prompt engineering techniques, and how can they improve LLM outputs?

How does learning from context enhance the performance of LLMs?

What is text retrieval augmentation, and why is it important?

What are the key steps involved in fine-tuning language models?

Can you explain reinforcement learning and its role in improving LLMs?

What is a vector database, and how is it used in LLM applications?

How can data pipelines be adapted for LLM applications?

Un-Answered Questions { Artificial Intelligence }

Explain how do you think google is training data for self-driving cars?

155

What are PCA, KPCA, and ICA used for?

Give a brief introduction to data mining process?

Explain the differences between univariate and multivariate analysis?

433

Which operating system is best for machine learning?

117

How many dentists are there in US?

405

Name the three types of algorithms?

101

What is transfer learning, and when would you use it?

What is the philosophy behind artificial intelligence?

962

What measure how far the predictions are from the actual values in machine learning?

What does a hybrid bayesian network contain?

1153

How do you ensure ethical considerations are addressed in your work?

What are the different types of Machine Learning?

130

What are the trade-offs between security and ease of use in Gen AI applications?

What is false positive and false negative in terms of machine learning?

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