Exploration
Complex System Modeling Capability: Planetary exploration planning involves coordinated optimization of multidimensional constraints including orbital mechanics, energy balance, and instrument operations. GPT-4's 1.8 trillion parameter architecture and Mixture of Experts (MoE) design give it significant advantages in modeling complex system interactions, whereas GPT-3.5 has shown issues with constraint omission and conflict resolution failure in equally complex planning problems.Long-Range Dependency Handling: Complete mission planning requires maintaining long-term consistency across hundreds of decision variables. GPT-4's 32k context window and enhanced attention mechanisms can effectively track distant parameter correlations, while tests show GPT-3.5 begins to forget critical parameters in planning scenarios exceeding 5,000 characters.