Utilizing large language models for information recognition in numismatic descriptions

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Published: Feb 16, 2024
Issue
No. 188 (2024): 15th ISPC «Scientific Research in XXI Century» (February 16-18, 2024; Ottawa, Canada).
Section
Information and Web technologies
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This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

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Oleksandr Bozhko
Kharkiv National University of Radio Electronics; Ukraine
Konstantin Petrov
Kharkiv National University of Radio Electronics; Ukraine

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How to Cite
Bozhko, O., & Petrov, K. (2024). Utilizing large language models for information recognition in numismatic descriptions. Scientific Collection «InterConf», (188), 402–406. Retrieved from https://archive.interconf.center/index.php/conference-proceeding/article/view/5432

References

Zhang, A., Lipton, Z. C., Li, M., & Smola, A. J. (2023). Dive into Deep Learning. Cambridge, UK: Cambridge University Press.

Dilmegan, C. (2024). Model Retraining: Why & How to Retrain ML Models? Retrieved from https://research.aimultiple.com/model-retraining

Touvron, H., Lavril, T., Izacard, G., Martinet, X., Lachaux, M.-A., Lacroix, T., Rozière, B., Goyal, N., Hambro, E., Azhar, F., Rodriguez, A., Joulin, A., Grave, E., & Lample, G. (2023). LLAMA: Open and efficient foundation language models. Retrieved from arXiv:2306.07377

OpenAI. (n.d.). Official Models Documentation. Retrieved from https://platform.openai.com/docs/models/

Bozhko O. (2024) Using large language models to recognize information in numismatic descriptions. Science and technology today. Issue

No 1(29). p. 615-625. Retrieved from https://doi.org/10.52058/2786-6025-2024-1(29)