BriefGPT.xyz
Nov, 2022
通过纠错重新提示的方式,利用大型语言模型进行规划
Planning with Large Language Models via Corrective Re-prompting
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Shreyas Sundara Raman, Vanya Cohen, Eric Rosen, Ifrah Idrees, David Paulius...
TL;DR
本文提出了一种基于提示的策略,使用前置错误信息从LLMs中提取可执行计划,以设计智能化的实体代理,并在VirtualHome仿真环境中对该方法进行了评估。
Abstract
Extracting the common sense knowledge present in
large language models
(LLMs) offers a path to designing intelligent,
embodied agents
. Related works have queried LLMs with a wide-range of contextual information,
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