Llm, Transformers, Fine Tuning, Gpu, Scaling Law.
interpret LLM scaling laws, providing insights into optimizing computational resources. Finally, we discuss the concepts of FLOPs and FLOPS, which measure the computational amount and speed, respectively. Using GPT-4 or Llama3 as an example, we aim to clarify the complexities involved in training