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Challenges and Opportunities in Prompt Engineering for Generative AI
Authors
RAVIPUDI.NAGA SAI SARANYA,TATI.RAGHAVENDRA,YAMPATI. MAHESWARI,RAAVI .YESU BABU,PULLAGURA.NAVEEN
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Keywords
Prompt Engineering ,Generative AI , Challenges in AI ,Opportunities in AI , AI Models , Natural Language Processing (NLP), Large Language Models (LLMs),Prompt Optimization , Human-AI Interaction, AI Ethics, Model Training, Contextual Relevance, AI Prompt Customization
Abstract
As much as prompt engineering has become an important method of optimizing generative AI systems, it is only useful in making the output that it produces accurate, contextually relevant, and ethically sound across various applications. However, the field remains fraught with challenges, including the ambiguity of language, risk of bias, and lack of standardization in best practices. The process of prompt engineering by its nature is iterative, and it can take hours to complete, making large-scale deployment at the enterprise level challenging. Moreover, in applications where the latest data is required, the use of generative models having a fixed knowledge cutoff renders them less suitable. At the same time, vast opportunities are opened up when using prompt engineering: namely, it allows for specialization towards specific industry use cases, supports accessible human-AI collaboration, and provides innovation in creative industries. New tools and frameworks are making prompt design easier. In addition, growing career opportunities underpin how much more critical this emerging area of significance is for all. Lastly, prompt engineering may also make more responsible AI outputs that can further the generative models along ethical lines while bringing the role of AI closer to becoming a trusted partner in commercial as well as creative fields.
IJCRT's Publication Details
Unique Identification Number - IJCRT2411204
Paper ID - 271612
Author type - Indian Author
Page Number(s) - b857-b860
Pubished in - Volume 12 | Issue 11 | November 2024
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No Of Downloads - 164
Author Country - India, 522019, Guntur, Guntur, 522019, Science and Technology
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RAVIPUDI.NAGA SAI SARANYA,TATI.RAGHAVENDRA,YAMPATI. MAHESWARI,RAAVI .YESU BABU,PULLAGURA.NAVEEN, "Challenges and Opportunities in Prompt Engineering for Generative AI", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 11, pp.b857-b860, November 2024, Available at :http://www.ijcrt.org/papers/IJCRT2411204.pdf
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