A Tutorial on Multi-Armed Bandit Applications for Large Language Models

Author:

Bouneffouf Djallel1ORCID,Féraud Raphaël2ORCID

Affiliation:

1. IBM Research, New York, New York, USA

2. Orange Orange Innovation, Lannion, France

Publisher

ACM

Reference16 articles.

1. Tor Lattimore and Csaba Szepesvari. Bandit algorithms. 2017.

2. Survey on Applications of Multi-Armed and Contextual Bandits

3. Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, ?ukasz Kaiser, and Illia Polosukhin. Attention is all you need. Advances in neural information processing systems, 30, 2017.

4. Edward J. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, LuWang, andWeizhu Chen. Lora: Low-rank adaptation of large language models, 2021.

5. Wei Chu, Lihong Li, Lev Reyzin, and Robert Schapire. Contextual bandits with linear payoff functions. In Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, pages 208--214, 2011.

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