Summary of Infant Agent: a Tool-integrated, Logic-driven Agent with Cost-effective Api Usage, by Bin Lei et al.
Infant Agent: A Tool-Integrated, Logic-Driven Agent with Cost-Effective API Usage
by Bin Lei, Yuchen Li, Yiming Zeng, Tao Ren, Yi Luo, Tianyu Shi, Zitian Gao, Zeyu Hu, Weitai Kang, Qiuwu Chen
First submitted to arxiv on: 2 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 The paper addresses two significant limitations of large language models (LLMs): their inability to autonomously solve real-world engineering problems and their struggle with complex logic problems. To overcome these challenges, the authors developed the Infant Agent, a framework that integrates task-aware functions, operators, a hierarchical management system, and a memory retrieval mechanism. This integration enables LLMs to sustain extended reasoning processes and efficiently handle complex tasks while reducing API costs. The Infant Agent is demonstrated to improve GPT-4o’s accuracy on the SWE-bench-lite dataset from 0.33% to 30%, and in the AIME-2024 mathematics competition, it increases accuracy from 13.3% to 37%. The paper’s contributions have implications for the development of more powerful LLMs that can effectively reason through complex problems. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Imagine you have a super smart computer program called a large language model (LLM). These programs are great at answering questions and completing tasks, but they’re not very good at solving real-world problems or thinking critically. To fix this, the authors created something new called the Infant Agent. This special tool helps LLMs think more clearly and make better decisions by using different strategies to solve complex problems. With the Infant Agent, these programs can now do things like complete math problems and solve engineering challenges much better than before. This is important because it could lead to even smarter computers that can help us with all sorts of tasks. |
Keywords
» Artificial intelligence » Gpt » Large language model
