Machine Learning and Python Developer Interview Questions and Answers

Fine tuning LLMs vs RAG for important use cases

• LLMs (Large Language Models) are pre-trained models that can be fine-tuned for specific tasks, offering high performance on a wide range of NLP tasks.

• RAG (Retrieval-Augmented Generation) models combine retrieval and generation capabilities, allowing for more context-aware responses.

• LLMs are suitable for tasks requiring general language understanding, while RAG models excel in tasks where context and external knowledge are crucial...read more

Lists are flexible, can hold different data types, and are slower. Arrays are fixed size, hold only one data type, and are faster.

• Lists can hold different data types, while arrays can only hold one data type.

• Arrays are faster for numerical operations compared to lists.

• Lists are more flexible as they can be resized dynamically, while arrays have a fixed size.

• Example: list_example = [1, 'hello', True], array_example = [1, 2, 3, 4]

Armstrong code is a program that checks if a number is an Armstrong number. Reversing a string involves reversing the order of characters in a given string.

• Create a function to reverse a string by iterating through the characters in reverse order and appending them to a new string.

• Use slicing to reverse a string in Python: 'hello'[::-1] will result in 'olleh'.

• Implement the Armstrong code to check if a number is an Armstrong number by summing the cubes of its digits.

• Example: '...read more