Navigating LLM Valley: From AdamW to Memory-Efficient and Matrix-Based Optimizers
arXiv:2605.09176v1 Announce Type: new
Abstract: Training large language models requires optimization algorithms that are not only statistically effective, but also computationally and memory efficient at extreme scale. Although Adam remains the domina…