Summary of How Far Are We From Agi: Are Llms All We Need?, by Tao Feng et al.
How Far Are We From AGI: Are LLMs All We Need?
by Tao Feng, Chuanyang Jin, Jingyu Liu, Kunlun Zhu, Haoqin Tu, Zirui Cheng, Guanyu Lin, Jiaxuan You
First submitted to arxiv on: 16 May 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computation and Language (cs.CL); Computers and Society (cs.CY); Machine Learning (cs.LG)
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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 proposed study delves into the evolution of artificial intelligence (AI), particularly the development of Artificial General Intelligence (AGI). AGI is characterized by its ability to efficiently execute real-world tasks with human-level intelligence. The research aims to provide a comprehensive exploration of AGI’s definitions, objectives, and developmental trajectories, going beyond summarizing large language models (LLMs) and integrating internal, interface, and system dimensions. The study highlights the importance of approaching AGI responsibly by defining key levels of progression, outlining an evaluation framework, and providing a roadmap for achieving AGI. Furthermore, it discusses existing challenges and potential pathways toward AGI in various domains. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper explores the evolution of artificial intelligence (AI) and its impact on human society. It focuses on Artificial General Intelligence (AGI), which is characterized by its ability to perform tasks efficiently with human-level intelligence. The research aims to provide a comprehensive understanding of AGI’s definitions, objectives, and developmental trajectories. The study highlights the importance of approaching AGI responsibly and provides a roadmap for achieving it. It also discusses existing challenges and potential pathways toward AGI in various domains. |
