Mastering Text Data Augmentation Techniques for LLMs

Text data augmentation is a foundational technique for enhancing the robustness and generalization of large language models (LLMs). By artificially increasing the size and variability of training data, models can be exposed to more diverse linguistic patterns, reducing overfitting and improving their ability to handle unseen inputs. This tutorial walks …