Training next-generation code generation models requires high-quality datasets, yet existing datasets face difficulty imbalance, format inconsistency, and data quality problems. We address these ...

Why can some messages be compressed while others cannot? This video explores Huffman coding and Shannon’s concept of entropy, showing how probability and information theory determine the ultimate ...

AI code generation appears to have a few kinks to work out before it can fully dominate software development, according to a new report by CodeRabbit. When compared to human-generated code, AI code ...

Vibe coding — the fast-growing trend of using generative AI to spin up code from plain-language prompts — is quick, creative, and great for instant prototypes. But many argue that it's not cut out for ...

Things are frankly ridiculous right now with AI building—in the best possible way. Vibe coding tools like Lovable, Bolt, and Cursor are democratizing software development. And that means that you can ...

In March, AI figureheads crowed that their own employees would be relegated to the dustbin of history. "I think we will be there in three to six months, where AI is writing 90% of the code," ...

Abstract: This paper considers the trouble of records compression and supply coding by evaluating the use of arithmetic and Huffman coding. Arithmetic coding is a good, most reliable coding approach ...

This repository provides an implementation of a compression algorithm of this type, the Huffman algorithm. This algorithm is implemented in the Python programming language.