Welcome to a deep dive into Large Language Model fine-tuning, covering everything from foundational concepts to cutting-edge advancements. This episode explores diverse methodologies like supervised and instruction-based fine-tuning, alongside advanced techniques such as Low-Rank Adaptation (LoRA) and Mixture of Experts (MoE). Tune in to understand the comprehensive seven-stage pipeline for fine-tuning LLMs, from data preparation to deployment, and navigate the inherent challenges and opportunities in this rapidly evolving field.