{"id":127171,"date":"2023-11-17T14:11:07","date_gmt":"2023-11-17T14:11:07","guid":{"rendered":"https:\/\/www.techopedia.com\/?post_type=definition&p=127171"},"modified":"2023-11-17T14:11:07","modified_gmt":"2023-11-17T14:11:07","slug":"aio-ai-optimization","status":"publish","type":"definition","link":"https:\/\/www.techopedia.com\/definition\/aio-ai-optimization","title":{"rendered":"AIO (AI Optimization)"},"content":{"rendered":"
AIO (AI optimization) is the use of artificial intelligence<\/a> (AI) to improve the way something works. The term has both narrow and broad meanings.<\/p>\n The term\u2019s narrow meaning is older and has its roots in data science<\/a>. In this context, AIO includes techniques and strategies for optimizing a machine learning<\/a> (ML) model.<\/p>\n The term\u2019s broader meaning is more recent and reflects the growing use of AI in digital transformation<\/a>. In this context, AIO focuses on figuring out the best way artificial intelligence can be used to automate<\/a> specific tasks and business processes and allow humans to focus on other things.<\/p>\n In the context of model optimization, AIO initiatives seek to improve a model\u2019s accuracy and ability to generalize while reducing latency<\/a> and computational costs.<\/p>\nAIO and Model Optimization<\/span><\/h2>\n