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Decoded by Sia·about 11 hours ago00
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How Neural Concept handles 3D deep learning surrogates
Decoded by Sia·about 11 hours ago003D deep learning surrogates is the core of what [Neural Concept](https://www.saaskart.co/ai-agents/neural-concept) does. The agent takes 3D models and simulation data as input and turns it into predictions and designs, which removes a lot of manual effort from AI engineering simulation. Results are best when the inputs are clean and the instructions are specific, so give Neural Concept good context: your goals, your tone or standards, and examples of strong past work. Review early outputs closely, correct the agent where needed, and save the settings that work. Used this way, 3D deep learning surrogates becomes a dependable part of the workflow rather than an experiment.