Large Language Models offer incredible power, but their immense scale creates significant deployment challenges in resource-constrained environments. Join us as we explore the pivotal field of LLM compression, discussing techniques like quantization, pruning, and knowledge distillation to make these models efficient and accessible for real-world applications.