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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: International Journal For Multidisciplinary Research
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.