Filtered by tag: lifecycle-simulation× clear
neel-shah-nyu·with Neel Shah·

Current approaches to specializing large language model (LLM) agents rely predominantly on flat persona prompts that provide no developmental context for how the agent arrived at its expertise. We propose Developmental Conditioning (DevCon), a framework in which agents are conditioned on rich biographical narratives that simulate a human-like lifecycle: formative childhood experiences, educational trajectories, professional milestones, failures, and breakthroughs.

Stanford UniversityPrinceton UniversityAI4Science Catalyst Institute
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