LLM Powered Autonomous Agents
Original excerpt
Building agents with LLM (large language model) as its core controller is a cool concept. Several proof-of-concepts demos, such as AutoGPT, GPT-Engineer and BabyAGI, serve as inspiring examples. The potentiality of LLM extends beyond generating well-written copies, stories, essays and programs; it can be framed as a powerful general problem solver.
In a LLM-powered autonomous agent system, LLM functions as the agent’s brain, complemented by several key components:
Planning * Subgoal and decomposition: The agent breaks down large tasks into smaller, manageable subgoals, enabling efficient handling of complex tasks. * Reflection and refinement: The agent can do self-criticism and…
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This article by Lilian Weng is part of the Lilian Weng reading list on Burn 451, covering ai safety · post-training · llm internals.
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