The fundamental theoretical challenge regarding how simple learning objectives forge complex, emergent capabilities at scale involves moving beyond empirical observation to develop a theoretical framework that explains the relationship between scale (data, parameters, compute) and capability, often referred to as Scaling Laws.

Authors

• Person: Not available Organization: arXiv
  A Survey on the Theory and Mechanism of Large Language Models

Sources

• A Survey on the Theory and Mechanism of Large Language Models arxiv.org arXiv via serper

Referenced by nodes (1)

• data concept