Model Fine-Tuning
Enhancing AI understanding of physics for optimized parameter strategies and effective control logic.
Model Tuning
Enhancing models for optimized control in research design projects.
Model Adaptation
Fine-tuning for physics terminology and control logic understanding.
Simulation Validation
Comparing outputs with physical simulators for effectiveness evaluation.
Model Fine-Tuning
Enhancing models for precise physics understanding and control logic optimization strategies.
Domain Adaptation
Utilizing GPT-4 API for tailored understanding of complex physics terminology and control mechanisms.
Parameter Optimization
Generating effective strategies for optimizing parameters based on multimodal datasets and experimental insights.