Summary of Self-evolving Gpt: a Lifelong Autonomous Experiential Learner, by Jinglong Gao et al.
Self-Evolving GPT: A Lifelong Autonomous Experiential Learner
by Jinglong Gao, Xiao Ding, Yiming Cui, Jianbai Zhao, Hepeng Wang, Ting Liu, Bing Qin
First submitted to arxiv on: 12 Jul 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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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 presents a lifelong autonomous experiential learning framework for large language models (LLMs) to improve their performance in solving various tasks. The framework enables LLMs to autonomously learn and accumulate experience through experience transfer and induction, allowing them to categorize input questions and select the most relevant accumulated experience to apply. Experimental results on six widely used NLP datasets demonstrate that the framework performs reliably at each intermediate step and effectively improves the performance of GPT-3.5 and GPT-4. This validates the feasibility of using LLMs to mimic human experiential learning and application capabilities. The framework’s behavior is analyzed in detail, highlighting its ability to learn and adapt to new tasks. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper explores a way for large language models (LLMs) to improve their performance by giving them experience with solving problems. Currently, humans have to manually provide this experience, which isn’t practical as the demand for LLMs grows. The researchers developed a system that allows LLMs to learn and accumulate experience on their own. This framework helps LLMs categorize questions and choose the right experience to apply. The results show that this framework is effective in improving the performance of GPT-3.5 and GPT-4. This proves that LLMs can mimic human learning and problem-solving abilities. |
Keywords
» Artificial intelligence » Gpt » Nlp
