Top Large Language Models (LLMs) Interview Questions & Answers

Demystifying Large Language Models (LLMs): Key Interview Questions and Expert Answers

In data science and natural language processing engineering interviews, you can expect a variety of questions to assess your knowledge and skills related to large language models. These interviews often comprise a wide range of questions designed to evaluate your proficiency in handling large language models, understanding NLP fundamentals, and grasping the intricacies of Transformer-based architectures.

In this article, we will delve into the essential interview questions that you might encounter during your data science and NLP engineering interviews. We’ve categorized these questions into three distinct sections, each focusing on different aspects of NLP and large language models: NLP basics, Transformer-based inquiries, and large language model-specific queries.

Table of Contents:

1. NLP Basics Interview Questions & Answers
   1.1. Describe the process of tokenization in NLP. Why is it important, and what challenges can arise during tokenization?
   1.2. How do you handle the problem of bias in NLP models, and what techniques can be used to mitigate it?
   1.3. What are the key evaluation metrics for assessing the…