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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

What is the difference between tf.variable and tf.placeholder?

1 13

What is tensor ?

1 12

What is pruning in a decision tree?

1 9

What is a Recurrent Neural Network(RNN)?

1 12

What is difference between Tensorflow and Keras ?

1 13

What is constant in tensorflow ?

1 11

What is difference between tensorflow and theano ?

1 10

What is difference between tensorflow and pytorch ?

1 13

Which unit gives non-linearity to a neural network?

1 11

What is latest Version of Tensorflow ?

1 10

What is the possibility of evaluating a logistic regression model for a user?

1 11

Why you have to choose tensorflow rather than other deep learning frameworks ?

1 12

What is placeholders in tensorflow ?

1 12

What is an important feature of model capacity?

1 10

How can you find overfitting in tensforflow ? How can you avoid it ?

1 12


Un-Answered Questions { Artificial Intelligence }

What are the benefits and risks of using AI in financial risk analysis?

88


How can you optimize AI models for edge deployment?

124


What challenges arise when implementing AI in finance?

90


How does the bias in training data affect the performance of AI models?

113


What are Large Language Models (LLMs), and how do they relate to foundation models?

76


What measures can ensure the robustness of AI systems?

5


What are the risks of using open-source Generative AI models?

53


How do you approach deployment of AI models?

99


What techniques can be used to make AI models more fair?

95


How can AI be used to predict patient outcomes?

85


What techniques can improve the explainability of AI models?

5


What methods are used to make AI decisions more transparent?

105


Explain how AI models create realistic game physics.

90


What are the best practices for deploying Generative AI models in production?

62


How do Generative AI models create synthetic data?

58