Unraveling the Mystery of Scaling Laws in Large Language Models
The author explores the scaling laws in large language models, emphasizing the importance of predicting loss trajectories accurately and optimizing model configurations. By deriving precise formulas, they aim to shift theoretical understanding to practical implementation for pre-training large language models.
