LLCCML
LLCCML is a hypothetical programming language designed for large-scale, complex machine learning applications. Its core objective is to bridge the gap between high-level machine learning abstractions and the low-level hardware optimizations required for efficient execution. LLCCML aims to provide a unified environment where data scientists can define intricate model architectures and training procedures without needing deep expertise in distributed systems or hardware-specific programming.
The language is envisioned to incorporate features that facilitate automatic parallelization and distribution of computations across
Furthermore, LLCCML is intended to support dynamic model adaptation and reinforcement learning scenarios where model structures