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@@ -77,7 +77,7 @@ base_model:
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  - Scalability: Scales across not only diverse HVAC system configurations, but also nearly all building equipment and components, with automated sizing supported.
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  <div align="center">
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- <img src="https://huggingface.co/GangJiang/LLM-BEM-Engineer/resolve/main/figs/Picture1.png" alt="Description" width="600"/>
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  <p><em>Overview of LLM-BEM-Engineer.</em></p>
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  </div>
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  (5) Building System: The engineer can auto-model a wide array of heating, ventilation, and air conditioning (HVAC) configurations, ranging from common setups such as VAV (Variable Air Volume), FCU (Fan Coil Unit), VRF (Variable Refrigerant Flow), heat pump, and packaged AC units, to hybrid systems that integrate multiple approaches (e.g., VAV+FCU) as well as advanced designs like DOAS (Dedicated Outdoor Air System)-based configurations. It also allows flexibility in simulating system performance under different equipment and control logics.
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  <div align="center">
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- <img src="https://huggingface.co/GangJiang/LLM-BEM-Engineer/resolve/main/figs/Picture3.png" alt="Prompt-Model Description" width="600"/>
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  <p><em>Supported dimensions and representative building archetypes auto-generated by the AI Engineer.</em></p>
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  </div>
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  ## 🏗️ Target Users
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  This current platform is designed for engineers, architects, and researchers working in building performance, sustainability, and resilience. It is especially useful during early-stage conceptual design when modeling decisions have the greatest impact.
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  <div align="center">
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- <img src="https://huggingface.co/GangJiang/LLM-BEM-Engineer/resolve/main/figs/Picture4.png" alt="LLM-BEM-Engineer for automated generating" width="600"/>
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  <p><em>LLM-BEM-Engineer for automated generating.</em></p>
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  </div>
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  <div align="center">
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- <img src="https://huggingface.co/GangJiang/LLM-BEM-Engineer/resolve/main/figs/Picture5.png" alt="LLM-BEM-Engineer for automated editing" width="600"/>
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  <p><em>LLM-BEM-Engineer for automated editing.</em></p>
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  </div>
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  - Scalability: Scales across not only diverse HVAC system configurations, but also nearly all building equipment and components, with automated sizing supported.
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  <div align="center">
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+ <img src="https://huggingface.co/GangJiang/LLM-BEM-Engineer/resolve/main/figs/1pic.png" alt="Description" width="600"/>
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  <p><em>Overview of LLM-BEM-Engineer.</em></p>
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  </div>
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  (5) Building System: The engineer can auto-model a wide array of heating, ventilation, and air conditioning (HVAC) configurations, ranging from common setups such as VAV (Variable Air Volume), FCU (Fan Coil Unit), VRF (Variable Refrigerant Flow), heat pump, and packaged AC units, to hybrid systems that integrate multiple approaches (e.g., VAV+FCU) as well as advanced designs like DOAS (Dedicated Outdoor Air System)-based configurations. It also allows flexibility in simulating system performance under different equipment and control logics.
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  <div align="center">
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+ <img src="https://huggingface.co/GangJiang/LLM-BEM-Engineer/resolve/main/figs/2pic.png" alt="Prompt-Model Description" width="600"/>
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  <p><em>Supported dimensions and representative building archetypes auto-generated by the AI Engineer.</em></p>
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  </div>
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  ## 🏗️ Target Users
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  This current platform is designed for engineers, architects, and researchers working in building performance, sustainability, and resilience. It is especially useful during early-stage conceptual design when modeling decisions have the greatest impact.
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  <div align="center">
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+ <img src="https://huggingface.co/GangJiang/LLM-BEM-Engineer/resolve/main/figs/3pic.png" alt="LLM-BEM-Engineer for automated generating" width="600"/>
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  <p><em>LLM-BEM-Engineer for automated generating.</em></p>
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  </div>
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  <div align="center">
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+ <img src="https://huggingface.co/GangJiang/LLM-BEM-Engineer/resolve/main/figs/4pic.png" alt="LLM-BEM-Engineer for automated editing" width="600"/>
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  <p><em>LLM-BEM-Engineer for automated editing.</em></p>
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  </div>
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