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

Artificial Intelligence Interview Questions

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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 tensorboard?

What is a heuristic function?

1040

How can unintended consequences in AI behavior be avoided?

How do you decide between model accuracy and model performance?

916

What prior knowledge is required to become data scientist?

368

Is tensorflow open source?

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

What measures should be taken to prevent data misuse in AI?

What is text generation ? How can you implement in Tensorflow ?

Does 1080ti have tensor cores?

Which language is best for data science?

399

Differentiate between inductive learning and deductive learning?

111

Which algorithm inverts a complete resolution strategy?

1266

What is chi square test?

380

Explain the concept of vehicle-to-everything (V2X) communication in AI.

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