Jan

Llama.cpp users can significantly improve inference speed and output quality by tuning sampling parameters such as temperature, TopP, MinP, TopK, repeat penalty, DRY, XTC, Dynatemp, Adaptive-P, and Mi…

A Japanese developer built 128 AI projects in four months, but 127 failed due to poor distribution. Instead of building another app, they started contributing to open-source tools by localizing them i…

The article compares three local LLM-based code completion tools—Zed AI, Continue, and Cursor—highlighting their strengths and weaknesses for different workflows. It notes that local models offer priv…