Abstract: Large language models have achieved remarkable progress across a wide range of tasks, but this progress comes at the cost of substantial storage and computational resources. Block ...

Abstract: Data compression with Huffman codes has been commonly employed to reduce the memory size required for emerging applications with large storage needs, such as Machine Learning (ML). However, ...

A framework-agnostic methodology for writing predictable, testable Java backend code optimized for human-AI collaboration. In industrial manufacturing, technology is the structured method of producing ...