Prompt-engineered GPT-4o-mini produces feasible and often optimal task allocations in small MEC networks, but the paper offers no code, no error bars, and no formal guarantee.
Large language model enhanced multi-agent systems for 6G communications,
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Constraint-Compliant Network Optimization through Large Language Models
Prompt-engineered GPT-4o-mini produces feasible and often optimal task allocations in small MEC networks, but the paper offers no code, no error bars, and no formal guarantee.