Zeta is an open source project that provides modular, high-performance and scalable building blocks to quickly build AI models. It includes various features such as Flash Attention, SwiGLU, relative position bias, feed-forward network, BitLinear transformation, PalmE multi-modal model, U-Net, visual embedding and many other advanced features.
Demand group:
"For AI researchers, developers and machine learning engineers."
Example of usage scenario:
Researchers use Zeta to build and test new AI models.
Developers take advantage of Zeta ’s modular nature to quickly implement AI applications.
AI educators use Zeta as a teaching tool to teach machine learning concepts.
Product features:
Offers a variety of modular AI building blocks
Support the rapid construction of high-performance AI models
Contains various machine learning and deep learning components