Mr. Srinivas Murri
Graph Database Pruning to Enhance Knowledge Representation in LLMs
Abstract: This talk focuses on using graph database pruning to enhance knowledge representation in Large Language Models (LLMs). By removing redundant data, pruning optimizes graph structures, improving LLM efficiency, accuracy, and scalability. Attendees will learn how this technique boosts model performance in tasks like knowledge retrieval and decision-making, offering practical insights for refining LLMs.