Salvato in:
Dettagli Bibliografici
Autori principali: Naikov, Alexey, Oreshkin, Anatoly, Shvetsov, Alexey, Shevel, Andrey
Natura: Preprint
Pubblicazione: 2025
Soggetti:
Accesso online:https://arxiv.org/abs/2501.13881
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Sommario:
  • The machine learning system in the form of Retrieval Augmented Generation (RAG) has developed steadily since about 2021. RAG could be observed as a version of the knowledge transfer. In the studied case, the large computing systems are observed as the application point of RAG, which includes large language model (LLM), as a partner for the developing team. Such an approach has advantages during the development process and further in exploitation time.