A hybrid model-plus-data parallel scheme is reported to boost training throughput and GPU utilization for LLM-based recommenders, but the supporting experiments are not reproducible from the paper.
Material Flow Prediction Task Based On TCN-GRU Deep Fusion Model [J]
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Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems
A hybrid model-plus-data parallel scheme is reported to boost training throughput and GPU utilization for LLM-based recommenders, but the supporting experiments are not reproducible from the paper.