Summary of Ecoact: Economic Agent Determines When to Register What Action, by Shaokun Zhang et al.
EcoAct: Economic Agent Determines When to Register What Action
by Shaokun Zhang, Jieyu Zhang, Dujian Ding, Mirian Hipolito Garcia, Ankur Mallick, Daniel Madrigal, Menglin Xia, Victor Rühle, Qingyun Wu, Chi Wang
First submitted to arxiv on: 3 Nov 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computation and Language (cs.CL)
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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 Recent advancements have enabled Large Language Models (LLMs) to function as agents that perform actions using external tools. The current methods for registering these tools into an LLM’s context are indiscriminate and retain all candidate tools across multiple reasoning steps, leading to inefficiencies due to increased context length from irrelevant tools. To address this, we introduce EcoAct, a tool registration algorithm that selectively registers tools as needed, optimizing context use. By integrating the tool registration process into the reasoning procedure, EcoAct reduces computational costs by over 50% in multiple-step reasoning tasks while maintaining performance. This is demonstrated through extensive experiments, showcasing its applicability to LLM agents and future applications. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Imagine you have a super smart computer program that can do lots of things on your behalf. Recently, this type of program called a Large Language Model (LLM) has gotten even smarter and can now perform actions using other tools, like opening apps or sending emails. However, the way these programs handle these tools is not very efficient. They keep all the tool information in their memory, which slows them down and makes it harder for them to make good decisions. To solve this problem, we created a new algorithm called EcoAct that helps LLMs choose which tools they need at any given time. This makes them faster and more efficient without losing their ability to get things done. |
Keywords
» Artificial intelligence » Context length » Large language model
