The 'Representation Camp' perspective posits that Large Language Models (LLMs) store memories about various topics during pretraining, and in-context learning retrieves contextually relevant topics during inference based on demonstrations.

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 (3)

• Large Language Models concept
• In-Context Learning concept
• Pre-training concept