Data Curation Debt: The Hidden Cost of Unbalanced Training Sets

Training large language models (LLMs) reveals a critical flaw in the interaction between gradient descent adjustments, data frequency salience, and the computational challenges of integrating new patterns into entrenched representations. High-frequen...