Prompt Engineering: Guiding the Way to Effective Large Language Models
DOI:
https://doi.org/10.52866/ijcsm.2023.04.04.012Keywords:
Prompt engineering, Large Language model, Editorial.Abstract
Large language models (LLMs) have become prominent tools in various domains, such as natural language processing, machine translation, and the development of creative text. Nevertheless, in order to fully exploit the capabilities of Language Models, it is imperative to establish efficient communication channels between humans and machines. The discipline of engineering involves the creation of well-constructed and informative prompts, which act as a crucial link between human intention and the execution of tasks by machines. The present study examines the concept of rapid engineering, elucidating its underlying concepts, methodologies, and diverse range of practical applications.
Downloads
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Mohammad Aljanabi, Mohanad Ghazi Yaseen, Ahmed Hussein Ali, Mostafa Abdulghafoor Mohammed
This work is licensed under a Creative Commons Attribution 4.0 International License.
Most read articles by the same author(s)
- Mohammad Aljanabi, Mohanad Ghazi, Ahmed Hussein Ali, Saad Abas Abed, ChatGpt, ChatGpt: Open Possibilities , Iraqi Journal For Computer Science and Mathematics: Vol. 4 No. 1 (2023)
- Omar Ibrahim Obaid, Ahmed Hussein Ali, Mohanad Ghazi Yaseen, Impact of Chat GPT on Scientific Research: Opportunities, Risks, Limitations, and Ethical Issues , Iraqi Journal For Computer Science and Mathematics: Vol. 4 No. 4 (2023)
- Hayder Sabah Salih, Mohanad Ghazi , Mohammad Aljanabi, Implementing an Automated Inventory Management System for Small and Medium-sized Enterprises , Iraqi Journal For Computer Science and Mathematics: Vol. 4 No. 2 (2023)
- Mohammad Aljanabi, Sahar Yousif Mohammed, Metaverse: open possibilities , Iraqi Journal For Computer Science and Mathematics: Vol. 4 No. 3 (2023)
- Alaa Hamza Omran, Sahar Yousif Mohammed, Mohammad Aljanabi, Detecting Data Poisoning Attacks in Federated Learning for Healthcare Applications Using Deep Learning , Iraqi Journal For Computer Science and Mathematics: Vol. 4 No. 4 (2023)
- Ahmed Hussein Ali, Mahmood Zaki Abdullah, Shams N. Abdul-wahab, Mohammad Alsajri, A Brief Review of Big Data Analytics Based on Machine Learning , Iraqi Journal For Computer Science and Mathematics: Vol. 1 No. 2 (2020)
- Hijaz Ahmad, Gamal M. Ismail, Ibrahim Alraddadi, Rasha F. El-Agamy, Mohammad Aljanabi, Umar Farooq, Exploring Advanced Analysis Technique for Shallow Water Flow Models with Diverse Applications , Iraqi Journal For Computer Science and Mathematics: Vol. 5 No. 2 (2024)
- Muntadher Khamees, Mostafa Abdulghafoor Mohammed, Dina Hassan Abbas, Automatic Temperature Control System Using African vultures optimization algorithm , Iraqi Journal For Computer Science and Mathematics: Vol. 5 No. 3 (2024)