Machinelearning, Optimization, Datascaling, AI, Training.
balancing model size and dataset requirements, ensuring efficient and effective machine learning. By understanding and applying these principles, practitioners can build models that not only perform better but also make more efficient use of computational resources, ultimately advancing the field