
International Journal of Leading Research Publication
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Volume 6 Issue 4
April 2025
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Unlocking the Power of Generative AI for innovation: Guiding principles for Responsible LLM applications
Author(s) | Sibin Thomas |
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Country | United States |
Abstract | This paper presents five key principles: setting clear goals, focusing on data quality, being open to changes, keeping human involvement, and following responsible AI practices. We also delve into architectural considerations for deploying LLMs, including data storage, model training, API gateways, application layers, and monitoring. We recommend starting with pre-trained models, using rapid engineering, applying transfer learning, and getting feedback to improve the performance of LLMs. There is a strong emphasis on keeping data private and secure, using methods to remove personal information and protect the models. By following these principles, organizations can take advantage of the benefits of generative AI and LLMs while reducing ethical and security risks. This paper aims to empower organizations to navigate the complexities of LLM adoption and contribute to the responsible development and implementation of these powerful technologies. |
Keywords | Generative AI, Large Language Models (LLMs), Artificial Intelligence (AI), Machine Learning (ML), AI Adoption, Ethics in AI Responsible AI |
Field | Engineering |
Published In | Volume 5, Issue 4, April 2024 |
Published On | 2024-04-09 |
Cite This | Unlocking the Power of Generative AI for innovation: Guiding principles for Responsible LLM applications - Sibin Thomas - IJLRP Volume 5, Issue 4, April 2024. DOI 10.5281/zenodo.14769559 |
DOI | https://doi.org/10.5281/zenodo.14769559 |
Short DOI | https://doi.org/g83ktw |
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IJLRP DOI prefix is
10.70528/IJLRP
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