Fully fine-tuning Pre-trained Language Models (PLMs) is often costly and inefficient, requiring substantial computational resources and time, and because these models are tailored for narrow applications, updates are challenging, according to Razuvayevskaya et al. (2023).

Authors

• Person: Not available Organization: Frontiers
  Combining large language models with enterprise knowledge graphs

Sources

• Combining large language models with enterprise knowledge graphs www.frontiersin.org Frontiers via serper

Referenced by nodes (1)

• pre-trained language models concept