{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Machine Learning Tech Brief By HackerNoon","title":"The “Remask & Refine” Coding Model That Beats Its AR Twin","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/08f4c0e2\"></iframe>","width":"100%","height":180,"duration":241,"description":"\n        This story was originally published on HackerNoon at: https://hackernoon.com/the-remask-and-refine-coding-model-that-beats-its-ar-twin.\n             Stable-DiffCoder-8B-Instruct uses diffusion-style iterative refinement for any-order code generation and editing. \n            Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.\n            You can also check exclusive content about #ai, #diffusion-code-generation, #block-diffusion-pretraining, #bigcodebench-accuracy, #8b-parameter-coding-model, #stable-diffcoder-8b-instruct, #low-confidence-remasking, #8k-context-length-coding-llm,  and more.\n            \n            \n            This story was written by: @aimodels44. Learn more about this writer by checking @aimodels44's about page,\n            and for more stories, please visit hackernoon.com.\n            \n                \n                \n                Stable-DiffCoder-8B-Instruct uses diffusion-style iterative refinement for any-order code generation and editing—plus how to tune steps, thresholds, and remasking.\n        \n        ","thumbnail_url":"https://img.transistorcdn.com/KyA01h2FD2insgk-wX_xzV6vbJnTNl2BvPYVL-XaI9A/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzQxMjcyLzE2ODM1/ODI0ODgtYXJ0d29y/ay5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}