Prompt Engineering: Unleashing the Power of Large Language Models to Defend Against Social Engineering Attacks
| Autor: | Ahmed I. Nezer, Bashar AlEsawi, Wisam Makki Salim |
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| Jazyk: | angličtina |
| Rok vydání: | 2024 |
| Předmět: | |
| Zdroj: | Iraqi Journal for Computer Science and Mathematics, Vol 5, Iss 3 (2024) |
| Druh dokumentu: | article |
| ISSN: | 2958-0544 2788-7421 |
| DOI: | 10.52866/ijcsm.2024.05.03.024 |
| Popis: | Prompt Engineering is an emerging area of study that pertains to the act of conceptualizing, perfecting, and executing prompts that guide an AI model to an intended purpose. The AI model is an LLM, which they are the “hit” of our time and probably the controversial type of AI. They are capable of executing several tasks using natural language processing algorithms. Due to their ease of use and fast development, they are becoming highly dependent. We found that to interact correctly with these models and gain the best performance, several techniques should be taken into consideration. Moreover, there are additional methods or tips to write a good prompt. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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