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

Artificial Intelligence Interview Questions

Questions Answers Views Company eMail

How do you ensure that your LLM generates contextually accurate and meaningful outputs?

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

How do you design prompts for generating specific outputs?

What are some best practices for crafting effective prompts?

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

Can you explain the difference between discriminative and generative models?

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

Why is data quality critical in Generative AI projects?

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

What techniques are used for handling noisy or incomplete data?

Explain the importance of tokenization in LLMs.

What is the role of vector embeddings in Generative AI?

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

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

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

Un-Answered Questions { Artificial Intelligence }

What is chi-square tests?

373

What difference do you find in type1 and type 2 errors?

What are the challenges in building generative AI systems?

How Does The Data Mining And Data Warehousing Work Together?

How can organizations create a culture of collaboration around Generative AI projects?

472

What do you understand by selection bias?

192

Define cluster sampling?

330

What is the use of gradient descent?

108

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

How do I open the terminal in pycharm?

409

Tell me what is a recommendation system?

180

What are the types of biases that can occur during sampling?

353

What is algorithm independent machine learning?

123

How do you handle data privacy issues when developing AI solutions?

Why is data considered crucial in AI projects?

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