LLM-based Agent Profile Module
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An LLM-based Agent Profile Module is a LLM-based agent system module in an LLM agent architecture that represents agent attributes.
- Context:
- It can (typically) be referenced in an LLM-based Agent Architecture.
- It can (typically) influence model behavior during interactions.
- It can be critical for Domain-Specific Applications where the role of the agent must be clearly defined.
- It can be defined through hand-crafting, LLM generation, or dataset alignment.
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- Example(s):
- The profile descriptions in AutoGPT (Hou et al., 2023).
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- Counter-Example(s):
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- See: LLM Agent Architecture, Agent Attribute
References
2023
- (Wang, Ma et al., 2023) ⇒ Lei Wang, Chen Ma, Xueyang Feng, ..., and Ji-Rong Wen. (2023). “A Survey on Large Language Model based Autonomous Agents.” In: arXiv preprint arXiv:2308.11432. doi:10.48550/arXiv.2308.11432
- QUOTE: "The profiling module aims to indicate the role profiles of the agents, which are usually written into the prompt to influence the LLM behaviors."
- SUMMARY: It presents a unified framework for LLM agent architecture with 4 modules: LLM-based agent profile module, LLM-based agent memory module, LLM-based agent planning module, LLM-based agent action module.
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Figure 2: A unified framework for the architecture design of LLM-based autonomous AI agent.