Why Do You Need Hyperparameter Optimization in LLM Fine-Tuning
Fine-tuning pre-trained models has become a critical technique in machine learning. It helps adapt large language models (LLMs) to domain-specific tasks. However, optimizing these models requires more than just training on task-specific data. A key factor here is hyperparameter optimization. ML engineers can significantly enhance model performance while maintaining efficiency by adjusting specific hyperparameters. Let’s…
Read More “Why Do You Need Hyperparameter Optimization in LLM Fine-Tuning” »