Performance gains in large language models are achieved not only by scaling data and model size during training, but also by increasing test-time computation, such as allowing the model to perform recurrent or iterative reasoning.

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 (2)

• Large Language Models concept
• iterative reasoning concept