LLM Architecture Evolution: A Journey Beyond GPT-3

This article offers a fascinating glimpse into the rapid advancements in the world of LLMs since the GPT-3 era. It highlights the key architectural innovations driving efficiency, long-context handling, performance gains, and faster inference speeds, showcasing the incredible pace of progress in this field.

• •Explores the shift from monolithic LLM architectures to more efficient Mixture of Experts (MoE) models.
• •Details innovations in handling longer context windows and improving inference speed.
• •Provides a clear overview of the key advancements in LLM architecture from 2020-2026.