Llm, Transformers, Fine Tuning, Gpu, Scaling Law.
the loss of models is more pronounced than the influence of the model’s architectural structure. The scale refers to the number of parameters (N), the size of the dataset (D), and the computational resources (C, which is measured in FLOPs, as explained in Appendix 1) used for training. These