{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Machine Learning Tech Brief By HackerNoon","title":"The Role of Supervised Fine-Tuning in AI","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/c5f2b134\"></iframe>","width":"100%","height":180,"duration":364,"description":"\n        This story was originally published on HackerNoon at: https://hackernoon.com/the-role-of-supervised-fine-tuning-in-ai.\n             Supervised fine-tuning explained: how it aligns pretrained AI models for task-specific behavior, production reliability, and structured outputs. \n            Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.\n            You can also check exclusive content about #ai, #ml, #supervised-learning, #fine-tuning, #fine-tuning-ai, #supervised-fine-tuning, #data-bottleneck, #llm-stack,  and more.\n            \n            \n            This story was written by: @praveenmyakala. Learn more about this writer by checking @praveenmyakala's about page,\n            and for more stories, please visit hackernoon.com.\n            \n                \n                \n                Pretraining makes AI models fluent. Supervised fine-tuning makes them useful. It trains models on labeled data to enforce task-specific behavior, format control, and production reliability.\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}