Hey guys, continuing the series of episodes about PEFT, in this episode I talk about inference optimization techniques for LLMs. I talk about layer pruning, where we prune consecutive layers of the LLM without almost not losing model performance. I also talk about Mixture of Depths, a similar technique to Mixture of Experts, where we have a router that choses which tokens will be processed in which layer of the LLM. Paper MoD: ⁠https://arxiv.org/pdf/2404.02258.pdf⁠ Paper layer pruning: ⁠https://arxiv.org/pdf/2403.17887v1.pdf⁠ Instagram of the podcast: https://www.instagram.com/podcast.lifewithai Linkedin of the podcast: https://www.linkedin.com/company/life-with-ai