This repository compiles interview questions and answers for LLM algorithm engineer positions. It covers fundamental LLM concepts including decoder-only versus encoder-decoder architectures, layer normalization methods (Layer Norm, RMS Norm, Deep Norm), training objectives, and comparative analysis of prominent models such as BART, LLaMA, GPT, T5, and PaLM.