Wordflow: Social Prompt Engineering for Large Language Models
Project Overview
The document explores the role of generative AI in education, focusing on the development and application of Wordflow, an open-source tool aimed at simplifying the use of large language models (LLMs) for non-experts. Recognizing the complexities associated with prompt engineering, it presents Wordflow as an accessible solution that allows users to easily create, run, share, and discover prompts tailored for educational purposes. By fostering community engagement, the tool enhances user interactions with AI, making it more effective in educational settings. The document underscores the significance of collaborative improvement and suggests potential avenues for future research and development to further advance the integration of generative AI in education, ultimately aiming to empower educators and learners alike with innovative AI-driven resources.
Key Applications
Wordflow - a social prompt engineering tool for LLMs.
Context: Everyday users including students and professionals seeking to interact with LLMs for various tasks like writing and translation.
Implementation: Wordflow is implemented as a web-based application that allows users to create and manage prompts, run LLMs locally or through APIs, and share prompts with a community.
Outcomes: Users reported improved interactions with LLMs, enhanced technical writing, and better translations, leading to increased confidence in using AI tools.
Challenges: Initial barriers include user familiarity with AI concepts and concerns about data privacy when using online LLM services.
Implementation Barriers
Technical Barrier
Users may not understand how to craft effective prompts for LLMs due to a lack of experience with AI technologies.
Proposed Solutions: Wordflow offers a user-friendly interface for prompt creation, and community sharing of prompts helps users learn from each other.
Privacy Concern
Users may be hesitant to use LLMs due to fears of data privacy and security when submitting sensitive information online.
Proposed Solutions: Wordflow supports running local models in users' browsers, alleviating concerns about data being sent to third-party services.
Project Team
Zijie J. Wang
Researcher
Aishwarya Chakravarthy
Researcher
David Munechika
Researcher
Duen Horng Chau
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Zijie J. Wang, Aishwarya Chakravarthy, David Munechika, Duen Horng Chau
Source Publication: View Original PaperLink opens in a new window
Project Contact: Dr. Jianhua Yang
LLM Model Version: gpt-4o-mini-2024-07-18
Analysis Provider: Openai