9 Commandments for Building AI Agents
MLOps.community
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Memory and Reflection in AI Agents
This chapter examines the dual aspects of memory in AI agents, focusing on short-term and long-term memory and their roles in enhancing task performance. It highlights the significance of reflective learning, where agents assess their actions to refine future executions, and the cyclical nature of observation, reflection, and action in AI development. Examples showcase how integrating past experiences leads to improved efficiency in task execution, particularly in voice processing technologies.
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