Domain-specific languages and programming paradigms for machine learning infrastructure development
Machine learning infrastructure programming has evolved from general-purpose languages to specialized domain-specific languages (DSLs) that bridge the gap between high-level ML frameworks and low-level hardware optimization. This lesson explores modern approaches like Helion DSL that enable efficient ML kernel development while maintaining developer productivity.