Supercharge Your LLM: A Deep Dive into Distributed Learning and Acceleration

This article dives into the exciting world of optimizing your own Large Language Model (LLM) through distributed learning and acceleration techniques. It goes beyond the basic theory, exploring practical applications and cutting-edge methods like Flash Attention, promising to make LLM development faster and more efficient.

• •Learn how to accelerate your LLM using techniques like Flash Attention.
• •Understand the principles behind Distributed Data Parallel (DDP) for multi-GPU training.
• •Explore the shift in LLM development towards hardware optimization.