Llm Pre Training, Llm Architecture, Model Quantization, Scaling Model Training, Llm Domain Adaptation.
that increasing the size of the training dataset results in continued performance improvement, as measured by the model’s test loss. Researchers have found that the ideal training dataset size is approximately 20 times larger than the number of parameters in the model. Source :