Llm, Transformers, Fine Tuning, Gpu, Scaling Law.
and the size of text tokens used to train the model (D). The number of parameters reflects the model’s capacity to learn and represent complex relationships in the data, while the amount of training data allows the model to learn from a wider variety of examples and contexts. With just these two