On SWE-Bench Verified, the model achieved a score of 70.6%. This performance is notably competitive when placed alongside significantly larger models; it outpaces DeepSeek-V3.2, which scores 70.2%, ...
A research team led by Professor Youngwook Kim from the Department of Physics and Chemistry, DGIST, in collaboration with the research team of Professor Gil Young Cho at KAIST, have discovered a new ...
Want local vibe coding? This AI stack replaces Claude Code and Codex - and it's free ...
Meet llama3pure, a set of dependency-free inference engines for C, Node.js, and JavaScript Developers looking to gain a ...