Optimizing Large Language Models (LLMs) for Efficient Training

The recent rise of Large Language Models (LLMs) has led to a growing need for effective optimization algorithms. These algorithms play a crucial role in training LLMs, influencing convergence speed, training efficiency, and performance robustness. In this article, we explore 25 optimizer algorithms used in training LLMs, highlighting the importance of selecting the right one for optimal performance.

Source: https://dev.to/nareshnishad/day-25-optimizer-algorithms-for-large-language-models-llms-1p4