Optimizing Prompt Length and Specificity for Enhanced AI Chatbot Responses

Journal Title: International Journal of Current Science Research and Review - Year 2024, Vol 7, Issue 09

Abstract

Language models have revolutionized natural language processing by greatly improving text generation and comprehension. Optimizing their functioning is related to how one designs prompts because the kind and quality of response produced affects the nature of response that is generated. This article explores the impact of prompt length and specificity on AI chatbots’ capabilities concerning accuracy, fluency, and relevance of generated responses. We present evidence that careful prompt engineering is severely lacking to improve conversational performance, and illustrate this using studies and experiments on the Cornell Movie Dialogs Corpus; thus, providing interesting guidelines to the developers and researchers interested in improving chatbot responses

Authors and Affiliations

Dr K Balaji, Akshatha Lokesha, Chandana G, Pushpa H M,

Keywords

Related Articles

Designing Innovative Corporate Social Responsibility (CSR), Social Media Marketing, and Sales Promotion to Increase Customer Retention in an Indonesia Local Fashion Brand: A Case Study of Nors Studio

This study focuses on analyzing the direct and indirect effects of various marketing strategies on customer retention, with special emphasis on the role of perceived value as a mediator. To achieve the research objective...

Application of MLR Method and Pearson Correlation on Nickel Extraction from Laterite Using Nitric Acid

Indonesia is a country rich in laterite mining especially in Celebes island and northern Moluccas. Laterite is a mineral rich with precious nickel. Nitric acid leaching has been used for nickel extraction from laterite...

Ultra-High Field Nuclear Magnetic Resonance (NMR) Spectroscopy: Applications at 1 GHz and Beyond

Nuclear magnetic resonance (NMR) spectroscopy is a powerful non-invasive analytical technique with wide applications that can observe multiple nuclear species at a site-resolved level. Despite this, NMR has inherent low...

An Evaluation and Proposed Strategies for PT XYZ Tbk’s Green Bond

Environmentally friendly projects could be funded by green bond. The most recent company that issued green bond is PT XYZ Tbk. The company has 112.2 MW gap to their hydro power plant capacity target. Moreover, the green...

Analysis of Factors Affecting Complaints of Lower Back Pain among Nurses at Bhayangkara Hospital Kendari

Background: One of the important factors that affect the quality of nurses’ work is occupational health and safety. One of the occupational diseases is Low Back Pain (LBP). Occupations that have a high risk of back pain...

Download PDF file
  • EP ID EP746665
  • DOI 10.47191/ijcsrr/V7-i9-61
  • Views 56
  • Downloads 0

How To Cite

Dr K Balaji, Akshatha Lokesha, Chandana G, Pushpa H M, (2024). Optimizing Prompt Length and Specificity for Enhanced AI Chatbot Responses. International Journal of Current Science Research and Review, 7(09), -. https://europub.co.uk/articles/-A-746665