Hello everyone 
I have recently started using sophgo hardware for my AI and machine learning projects; and I am searching for tips on how to improve model performance. I have discovered that while the hardware handles basic jobs well; more complicated models run slower than expected. I am particularly interested in deep learning models, and I was wondering if anyone here had any advice on increasing efficiency; either through hardware configuration or software adjustments.
Are there any settings and tools that can help you fine tune performance for large datasets? I would also welcome suggestions for appropriate frameworks or libraries that are most suited to making the most of sophgo systems; if any performance standards or case studies are provided; they would be quite useful.
Thanks in advance 