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Enhancing DL Performance Prediction with LLMs by aliexpresspacor is a document available to read on EtoBox.

This paper explores the integration of Graph Neural Networks (GNNs) and Large Language Models (LLMs) to enhance performance prediction for Deep Learning (DL) models, focusing on improving accuracy and adaptability to new hardware environments. The proposed GNN-LLM model outperforms traditional text-based representations, achieving significant increases in prediction accuracy and efficiency. Additionally, a structured pre-training strategy is introduced to facilitate model adaptation with minimal retraining

Author

aliexpresspacor

Language

EN