In this episode of Echo Verse AI Originals, we break down the most frequently asked interview questions about large language models (LLMs). Covering key topics such as tokenization, fine-tuning techniques like LoRA and QLoRA, decoding methods like beam search, and hyperparameter tuning, we provide insights to help you ace your next AI-related interview. We also explore architectural aspects of transformers, attention mechanisms, and the challenges of overfitting, catastrophic forgetting, and bias mitigation. Whether you're preparing for a technical interview or refining your AI knowledge, this episode is your ultimate guide to LLM fundamentals.