Hyperparameter tuning is essential for optimizing model architecture, but TVM primarily focuses on compiling models for specific hardware without altering them. Specialized hardware instructions, such as those for activation functions and convolutions, enhance performance by executing operations more efficiently. The landscape of AI chip primitives is vast and complex, as companies strive to hardwire popular model architectures for improved processing capabilities.
