{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Machine Learning Tech Brief By HackerNoon","title":"How to Build Production-Grade Applications With AI","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/c770829e\"></iframe>","width":"100%","height":180,"duration":484,"description":"\n        This story was originally published on HackerNoon at: https://hackernoon.com/how-to-build-production-grade-applications-with-ai.\nBuild production-ready AI applications with RAG, guardrails, observability, evaluation, security, and scalable deployment practices.\nCheck more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.\n            You can also check exclusive content about #rag-systems, #mlops, #llms, #production-ai-systems, #generative-ai, #enterprise-applications, #artificial-intelligence, #machine-learning,  and more.\nThis story was written by: @uthejdeveloper. Learn more about this writer by checking @uthejdeveloper's about page,\n            and for more stories, please visit hackernoon.com.\nDiscover how AI enables production-grade applications through robust architecture, guardrails, observability, evaluation, security, and scalable deployment beyond prompt engineering alone.\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}