LLM Powered Autonomous Agents
Read OriginalThis technical article explores the architecture of autonomous agents built around Large Language Models (LLMs) as core controllers. It details key components such as planning (task decomposition, reflection), memory systems (short-term and long-term), and tool use for API integration. The piece references implementations like AutoGPT and discusses concepts such as Chain of Thought and Tree of Thoughts for task planning.
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