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Memory Sharing for Large Language Model based Agents
April 16, 2024, 4:51 a.m. | Hang Gao, Yongfeng Zhang
cs.CL updates on arXiv.org arxiv.org
Abstract: In the realm of artificial intelligence, the adaptation of Large Language Model (LLM)-based agents to execute tasks via natural language prompts represents a significant advancement, notably eliminating the need for explicit retraining or fine tuning for fixed-answer tasks such as common sense questions and yes/no queries. However, the application of In-context Learning to open-ended challenges, such as poetry creation, reveals substantial limitations due to the comprehensiveness of the provided examples and agent's ability to understand …
agents arxiv cs.cl language language model large language large language model memory type
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