Design Patterns for Building More Efficient Generative Autonomous Agents: A Survey

Author(s)	Adnan Barwaniwala
Country	India
Abstract	This survey paper explores the design patterns essential for constructing generative autonomous agents, a significant advancement over traditional LLM-based applications. These agents can independently plan, execute, and refine tasks, enabling them to overcome limitations such as the need for continuous human input and rules-based reasoning. I review four design patterns: reflection, planning, tool use, and multi-agent collaboration for building more efficient agents. Each is illustrated through a detailed, holistic analysis of a specific implementation technique.
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 6, Issue 3, May-June 2024
Published On	2024-06-29
Cite This	Design Patterns for Building More Efficient Generative Autonomous Agents: A Survey - Adnan Barwaniwala - IJFMR Volume 6, Issue 3, May-June 2024. DOI 10.36948/ijfmr.2024.v06i03.23616
DOI	https://doi.org/10.36948/ijfmr.2024.v06i03.23616
Short DOI	https://doi.org/gt24wk

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