Top most LLM (Large Language Model ) Engineering Interview Questions — how is it different?

I recently had a chance to interview a number of LLM or Large Language Model Candidates and many of them were not able to answer some basic questions with example and related to their project/work history.

Following I am going to provide a list of such topics in the hope that you may be prepared to answer such questions.

Can you explain what a Large Language Model (LLM) is and how it differs from traditional machine learning models?

A Large Language Model (LLM) is a type of machine learning model that is trained on vast amounts of text data to understand and generate human-like text. These models are typically based on deep learning architectures, such as transformers, and are capable of learning complex patterns and relationships within language.

Here’s how an LLM differs from traditional machine learning models:

1. Scale: LLMs are trained on massive datasets containing billions of words or more. This extensive training data enables them to capture a broad range of linguistic patterns and nuances, allowing them to generate coherent and contextually appropriate text.
2. Architecture: LLMs often use transformer-based architectures, such as OpenAI’s GPT (Generative Pre-trained Transformer) models or Google’s BERT (Bidirectional Encoder Representations from…