Enhancing LLM Performance : Efficacy, Fine-Tuning, and Inference Techniques. [ca. 2025]. In P. Passban, A. Way, & M. Rezagholizadeh (Hrsg.), Machine Translation: Technologies and Applications (1 st ed. 2025) [Cd]. Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-85747-8
ISO-690 (author-date, English)PASSBAN, Peyman, WAY, Andy und REZAGHOLIZADEH, Mehdi (Hrsg.). 1 st ed. 2025. Cham: Springer Nature Switzerland. ISBN 9783031857478.
Modern Language Association 9th editionPassban, P., A. Way, und M. Rezagholizadeh, Herausgeber. „Enhancing LLM Performance : Efficacy, Fine-Tuning, and Inference Techniques“. Machine Translation: Technologies and Applications, 1 st ed. 2025, cd, Springer Nature Switzerland, 2025, https://doi.org/10.1007/978-3-031-85747-8.
Mohr Siebeck - Recht (Deutsch - Österreich): Enhancing LLM Performance : Efficacy, Fine-Tuning, and Inference Techniques, 1 st ed. 2025. Aufl. Cham 2025.
Emerald - HarvardPassban, P., Way, A. und Rezagholizadeh, M. (Hrsg.). (2025), Enhancing LLM Performance : Efficacy, Fine-Tuning, and Inference Techniques, Machine Translation: Technologies and Applications, 1 st ed. 2025., Bd. , Springer Nature Switzerland, Cham, verfügbar unter:https://doi.org/10.1007/978-3-031-85747-8.