Explore FlashAttention and GQA techniques to enhance efficiency in self-attention layers, and discover FSDP and DDP methods for training and fine-tuning Large Language Models (LLMs) in this 24-minute tutorial. Gain practical insights into memory and compute optimizations for LLMs, with access to a comprehensive PowerPoint presentation and hands-on Jupyter notebook for implementation.
Overview
Syllabus
LLMOps: LLMs Memory and Compute Optimizations #machinelearning #datascience
Taught by
The Machine Learning Engineer
