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AI and Prompt Architecture – A Literature Review

by Cassandra Ansara
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 185 - Number 34
Year of Publication: 2023
Authors: Cassandra Ansara
10.5120/ijca2023923133

Cassandra Ansara . AI and Prompt Architecture – A Literature Review. International Journal of Computer Applications. 185, 34 ( Sep 2023), 39-45. DOI=10.5120/ijca2023923133

@article{ 10.5120/ijca2023923133,
author = { Cassandra Ansara },
title = { AI and Prompt Architecture – A Literature Review },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2023 },
volume = { 185 },
number = { 34 },
month = { Sep },
year = { 2023 },
issn = { 0975-8887 },
pages = { 39-45 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume185/number34/32913-2023923133/ },
doi = { 10.5120/ijca2023923133 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:27:49.259256+05:30
%A Cassandra Ansara
%T AI and Prompt Architecture – A Literature Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 185
%N 34
%P 39-45
%D 2023
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Prompt Architecture represents a novel and systematic approach to the design and optimization of prompts within Conversational AI systems. This literature review synthesizes key developments, methodologies, and insights in the field, drawing from historical influences, recent advances, and current challenges. The review begins with an examination of early influences, such as Weizenbaum's ELIZA chatbot and Minsky's Frames Paradigm, and proceeds to explore modular prompting strategies, optimization techniques, and evaluation methods. Attention is given to innovative approaches, applications in conversational systems, user-centered design, knowledge representation, and ethical considerations. The review identifies existing gaps in the field, including the need for standardized benchmarks, inclusiveness, and ethical oversight. It concludes with a set of recommended actions for further research and development. The insights and recommendations provided in this review contribute to the maturation of Prompt Architecture as a robust and ethical methodology, with potential implications for the broader field of language model interaction and design.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Prompt Architecture Modular Prompting Chain-of-Thought Prompting Prompt Optimization User-Centered Design Large Language Models (LLMs) ELIZA Chatbot Minsky's Frames Paradigm Unified Text-to-Text Approach Accessibility in AI Ethical Implications of LLMs Evaluation of Prompt Quality Weak Supervision in AI Automated Prompt Generation Conversational AI Applications.

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