The research paper 'Scaling llm test-time compute optimally can be more effective than scaling model parameters' (arXiv:2408.03314) asserts that optimizing test-time compute in large language models can be more effective than increasing the number of model parameters.

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)

• Large Language Models concept