Abstract: For artificial intelligence (AI) to reach its full potential, prompt engineering is essential, especially for interactive AI and platform development. These abstract highlights the importance of chain prompting, AI, and prompts as a whole by examining the complex relationship between them. A carefully worded prompt can act as the basis for creating interesting and contextually appropriate interactions in the field of conversational AI. In order to get the required responses from AI models like GPT-3, prompt engineering requires precisely modifying the prompts. This produces discussions that are more relevant. Chain processing, on the other hand, promotes natural discourse flow by deftly connecting questions and answers. Effective platform design is based on the symbiotic interaction between prompt engineering and chain processing, which improves user experiences across a range of applications. We navigate the dynamic environment of generative AI.

Keywords: Prompt Engineering, Artificial Intelligence, Generative AI, Chain Prompting, Platform, Interactive AI

Works Cited:

Dhyankumar Patel, Sahil Kadbhane, Mohammed Sameed, Arya Chandorkar, Aniruddha S. Rumale " Prompt Engineering Using Artificial Intelligence ", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 12, no. 10, pp. 136-141, 2023. Crossref https://doi.org/10.17148/IJARCCE.2023.121018

PDF | DOI: 10.17148/IJARCCE.2023.121018

Open chat
Chat with IJARCCE