Llm, Transformers, Fine Tuning, Gpu, Scaling Law.
(LLMs). Why are larger models considered better? When it comes to LLMs, the loss of next-token (1 token is about 0.75 of words) prediction is predictable and smooth. It turns out that you only need to know two key variables to estimate their accuracy: the total number of parameters in the model (N)