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LLMOps: LLMs Memory and Compute Optimizations #machinelearning #datascience
Description:
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.

LLMOps: LLMs Memory and Compute Optimizations

The Machine Learning Engineer
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