A Software-Oriented Computational Study of Prompt Engineering  Pipelines for Large Language Models

Kumar Kasimala

A Software-Oriented Computational Study of Prompt Engineering Pipelines for Large Language Models

Authors

Kumar Kasimala

Keywords:

Abstract

The integration of Large Language Models

References

Adams, G., Fabbri, A., Ladhak, F., Lehman, E., & Elhadad, N. (2023). From sparse to dense:

GPT-4 summarization with chain of density prompting. arXiv.

https://doi.org/10.48550/arXiv.2309.04269

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Published

2025-02-05

How to Cite

Kumar Kasimala. (2025). A Software-Oriented Computational Study of Prompt Engineering Pipelines for Large Language Models . Journal of Computational Analysis and Applications (JoCAAA), 34(2), 256–275. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/4980