Why does Adam Optimizer matter for AI governance?

Standard hyperparameters are beta_1=0.9, beta_2=0.999, and epsilon=1e-8, which work well for most deep learning workloads without tuning. Adam's variant AdamW decouples weight decay from gradient updates and has largely replaced vanilla Adam in modern LLM training. The plat