zyx - a pre-LLM tensor library library

1. 1Explore zyx's dynamic autograd engine using Python
2. 2Build a simple neural network using zyx's tensor library
3. 3Run a benchmark test to compare zyx's performance with modern LLMs
4. 4Configure zyx to work with older hardware like the 1080 GPU
5. 5Test zyx's compatibility with other ML frameworks like PyTorch

ML engineers and researchers who want to explore traditional ML techniques can benefit from zyx, and it can be useful for teams working on legacy projects or wanting to understand the evolution of ML

💡 Understanding traditional ML techniques is crucial for appreciating the advancements in LLMs

🚀 zyx: a pre-LLM tensor library for nostalgic ML tasks 🚀