The paper examines whether agentic AI systems—collections of AI agents such as planners, solvers, reviewers, memory managers, tool users, and orchestrators—can be understood as having organizational b
LoRA (Low-Rank Adaptation of Large Language Models) addresses the growing cost of adapting very large pretrained language models to new tasks. Instead of fine-tuning all model weights, LoRA freezes th