July 13 at PyData St. Louis: How much energy do pruned LLMs actually save? Join us for a discussion on LLM efficiency, model pruning, and the real-world energy
A presentation at PyData St. Louis on July 13th will explore the actual energy savings achieved by pruned Large Language Models (LLMs). The discussion will delve into the efficiency of LLMs, the techniques of model pruning, and the tangible energy costs associated with artificial intelligence. AI
IMPACT This discussion aims to clarify the practical energy implications of optimizing LLMs, offering insights into the environmental footprint of AI technologies.