International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 6 November-December 2024 Submit your research before last 3 days of December to publish your research paper in the issue of November-December.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 6 Issue 6
November-December 2024

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

The Role of Prompt Engineering in Improving Language Understanding and Generation

Author(s) Divya Lamba
Country India
Abstract Prompt engineering is an emerging discipline that plays a pivotal role in enhancing the performance of large language models (LLMs) across diverse natural language processing tasks. This review examines the significance, challenges, and advancements in prompt engineering, focusing on its potential to optimize language understanding and generation. We explore foundational concepts, innovative techniques such as meta-prompting, and recent methodologies like PE2, which have demonstrated remarkable improvements in reasoning and task-specific performance. Additionally, we discuss the application of prompt engineering in academic writing and research, highlighting its capacity to transform workflows while addressing transparency, objectivity, and replicability challenges. The paper also underscores the limitations of current approaches, including issues of ambiguity, bias, and generalizability. By acquiring prompt engineering expertise, researchers and academic writers can effectively navigate the evolving landscape of artificial intelligence, leveraging LLMs for enhanced precision and creativity in their pursuits. This paper aims to provide a comprehensive overview of the field, serving as a guide for researchers to harness prompt engineering techniques and address the challenges of integrating LLMs into academic and applied settings.
Keywords Artificial Intelligence, LLM, Natural Language Processing, Prompt Engineering, Task Optimization
Field Engineering
Published In Volume 6, Issue 6, November-December 2024
Published On 2024-12-15
Cite This The Role of Prompt Engineering in Improving Language Understanding and Generation - Divya Lamba - IJFMR Volume 6, Issue 6, November-December 2024. DOI 10.36948/ijfmr.2024.v06i06.32232
DOI https://doi.org/10.36948/ijfmr.2024.v06i06.32232
Short DOI https://doi.org/g8wkpx
View / Download PDF File

Share this



E-ISSN 2582-2160
CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJFMR DOI prefix is
10.36948/ijfmr

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 6 Isu 6Cover Page Vol 6 Isu 5Cover Page Vol 6 Isu 4

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJFMR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9898-5948-55 editor@ijfmr.com