Applied Mathematics for Fine-Tuning Character AI: Custom Learning Rate Scheduler with LoRA (OpenChat 3.6)

This research demonstrates a mathematically inspired dynamic learning rate scheduler combined with Low-Rank Adaptation (LoRA) to efficiently fine-tune large language models (OpenChat 3.6) for character interactions. Results indicate improved stability, efficiency, and convergence, beneficial for scalable AI development.