A Memcached Cache-Based Approach to Fast Response for Large Language Models in Power Systems

Author:

Hei Wenbin1ORCID,Sun Biao1ORCID,Wang Qing1ORCID

Affiliation:

1. Inner Mongolia Power(Group) Co. Ltd, China

Publisher

ACM

Reference28 articles.

1. Artificial Intelligence in Advanced Manufacturing: Current Status and Future Outlook

2. Explainable Artificial Intelligence (XAI) techniques for energy and power systems: Review, challenges and opportunities

3. Harnessing predictive analytics for strategic foresight: a comprehensive review of techniques and applications in transforming raw data to actionable insights;Olaniyi O.;Available at SSRN,2023

4. Z. Xi, W. Chen, X. Guo, W. He, Y. Ding, B. Hong, M. Zhang, J. Wang, S. Jin, E. Zhou, , “The rise and potential of large language model based agents: A survey,” arXiv preprint arXiv:2309.07864, 2023.

5. S. Smith, M. Patwary, B. Norick, P. LeGresley, S. Rajbhandari, J. Casper, Z. Liu, S. Prabhumoye, G. Zerveas, V. Korthikanti, , “Using deepspeed and megatron to train megatron-turing nlg 530b, a large-scale generative language model,” arXiv preprint arXiv:2201.11990, 2022.

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