Leveraging LLM-based Services in Legacy Information Systems

XVII International Conference on Systems, Automatic Control and Measurements, SAUM 2024 (pp. 84-87)

АУТОР(И) / AUTHOR(S): Nenad Petrović 

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DOI:  10.46793/SAUM24.084P

САЖЕТАК / ABSTRACT:

Trending Large Language Models (LLMs) are enabling numerous novel use cases due to their text analysis and generation capability. Among them, there cases which can bring benefits in various areas of business on top of existing applications. This paper considers scenario of leveraging LLM-based services implemented using Llama3 within legacy Java Enterprise Edition business applications.

КЉУЧНЕ РЕЧИ / KEYWORDS:

Java, Llama3, LLM

ПРОЈЕКАТ/ ACKNOWLEDGEMENT:

This work was supported by the Ministry of Science, Technological Development and Innovation of the Republic of Serbia grant number 451-03-65/2024-03/200102.

ЛИТЕРАТУРА / REFERENCE

  1. Hou et al., “Large Language Models for Software Engineering: A Systematic Literature Review”, ACM Transactions on Software Engineering and Methodology, pp. 1-76, 2024. https://doi.org/10.1145/3695988
  2. Petrović and I. Al-Azzoni, “Model-Driven Smart Contract Generation Leveraging ChatGPT”, Proc. of Int. Conf. Syst. Eng. (ICSEng), 2023, LNNS 761, pp. 387-396. https://doi.org/10.1007/978-3-031-40579-2_37
  3. Introducing Meta Llama 3: The most capable openly available LLM to date [online], available on: https://ai.meta.com/blog/meta-llama-3/, last accessed: 01/11/2024.
  4. Google Colab [online], available on: https://colab.research.google.com/, last accessed: 01/11/2024.
  5. Raschka, Build a Large Language Model (From Scratch), Manning, 2024.
  6. Flask API [online], available on: https://flask.palletsprojects.com/en/stable/api/, last accessed: 01/11/2024.
  7. Pyngrok [online], available on: https://pypi.org/project/pyngrok/, last accessed: 01/11/2024.
  8. N. Petrović, „COVID-19 Prevention Systems within Hardware and Software Design Computer Science Courses,“ 2022 57th International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST), 2022, pp. 1-4. https://doi.org/10.1109/ICEST55168.2022.9828724