Summary:
- The article discusses Jax, a Python library used for high-performance machine learning and scientific computing.
- It explains the concept of "sharding," which is a technique used to split large datasets into smaller, more manageable pieces for efficient processing.
- The article also covers the type system in Jax, which helps ensure the correctness and performance of machine learning models.