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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

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

52

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

42

Why is data governance critical in managing LLMs?

50

How can governance be extended to all data types?

46

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

45

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

53

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

39

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

44

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

46

How does learning from context enhance the performance of LLMs?

52

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

39

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

47

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

47

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

65

How can data pipelines be adapted for LLM applications?

46


Un-Answered Questions { Artificial Intelligence }

What is meta learning?

51


In which layer softmax activation function used?

1


What are the programming elements in TensorFlow?

5


Which operating system is best for machine learning?

117


What are Tensorflow abstractions?

5


Why is image recognition a key function of ai?

868


What is the role of multidisciplinary teams in addressing AI ethics?

1


Define a sql query? How do you use sql in sas, python, r languages?

394


What is the uniform cost search algorithm?

951


What do you understand by Backpropagation?

5


Explain game playing ai?

824


Name different level of analysis of data mining?

43


What is advantage of using apply family of functions in r?

353


Compare sas, r, python, perl?

342


What is ai backgammon?

975