Summary of Steward: Natural Language Web Automation, by Brian Tang et al.
Steward: Natural Language Web Automation
by Brian Tang, Kang G. Shin
First submitted to arxiv on: 23 Sep 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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Summary difficulty | Written by | Summary |
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High | Paper authors | High Difficulty Summary Read the original abstract here |
Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper introduces Steward, a novel web automation tool that leverages large language models (LLMs) to efficiently interact with websites. By integrating LLM capabilities with browser automation, Steward can execute natural language-driven interactions on websites, making it a cost-effective and scalable solution for automating web tasks. The authors highlight the limitations of traditional browser automation frameworks like Selenium, Puppeteer, and Playwright, which require manual coding of interactions and are not suitable for large-scale or dynamic contexts. Steward addresses these limitations by using LLMs to plan and execute action sequences on websites, achieving high efficiency with a completion success rate of 40%. The paper also discusses design and implementation challenges, including state representation, action sequence selection, system responsiveness, detecting task completion, and caching implementation. |
Low | GrooveSquid.com (original content) | Low Difficulty Summary Steward is a new tool that helps computers talk to websites in a smart way. Right now, people use special codes to make computers do things on the web, but this can be slow and expensive. The creators of Steward wanted to find a better way. They used something called “large language models” (LLMs) to help computers understand what we want them to do on the web. This means that instead of writing special codes, we can just tell the computer what we want it to do using normal language. For example, we could say “click this button” or “go to this page”. Steward is very good at doing these tasks and can even remember things from previous interactions. It’s like having a personal assistant for your computer! |