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 }

What are the data challenges when using AI to solve environmental problems?

Explain the constraint satisfaction problems and how they are useful for ai?

861

If we added one rider to the current SF market, how would that affect the existing riders and drivers?

351

What distinguishes general-purpose LLMs from task-specific and domain-specific LLMs?

Tell us which data visualization libraries do you use?

147

What are good programming languages for ai?

947

Do you have some knowledge of R - analyse a given dataset in R?

293

Describe the concept of attention mechanisms in neural networks.

Explain The Concept Of Machine Learning And Assume That You Are Explaining This To A 5-year-old Baby?

What is quantum computing, and how does it differ from classical computing?

What are the common ways to handle missing data in a dataset?

109

Can you describe the importance of Edge AI for real-time processing and decision-making?

Can you explain how AI is used in education for adaptive learning?

Describe a challenging AI project you worked on. What were the key learnings?

What is collaborative filtering in machine learning?

160

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