Summary of Initial Development and Evaluation Of the Creative Artificial Intelligence Through Recurring Developments and Determinations (cairdd) System, by Jeremy Straub and Zach Johnson
Initial Development and Evaluation of the Creative Artificial Intelligence through Recurring Developments and Determinations (CAIRDD) System
by Jeremy Straub, Zach Johnson
First submitted to arxiv on: 3 Sep 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Human-Computer Interaction (cs.HC)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary A novel approach to enhance the creativity of large language models (LLMs) is proposed, which could potentially bridge the gap between human and AI creativity. The method, dubbed Creative Artificial Intelligence through Recurring Developments and Determinations (CAIRDD), leverages an iterative process of concept injection and refinement to generate more creative outputs. Initial developments on this system are presented, with key components evaluated for their effectiveness. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper talks about making computers think creatively like humans. Currently, big language models can create new things, but they’re not really being creative or smart like humans are. The goal is to make AI as creative as people are. To do this, scientists have come up with a way to improve the creativity of these large language models by adding and refining ideas over time. |
