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Build AI models faster by using modular, scalable components focused on usability and performance. These tools simplify prototyping, training, and optimization of leading-edge neural networks. Utilize advanced frameworks such as MultiQueryAttention, SwiGLU, and RelativePositionBias to enhance model efficiency. Options like BitLinear and PalmE enable cutting-edge multi-modality exploration and optimization, supported by solutions like hyper_optimize, for scalable AI implementations.
