Rapid AI Models with Closed Loop Training
Christian Plaichner
CPO
Artificial intelligence (AI) is one of the most sought-after technologies today and with good reason. It has the potential to lighten the workload in virtually any industry, provide people with better decision-making abilities, and enhance outcomes whether that includes improving health or increasing profit margins. As helpful and beneficial as AI is, there are critical limitations to it, and working to resolve that can be essential.
That is where closed loop training, a technology developed by Anyline, comes into play. Before getting into the details of what it is and how it works, consider the following.
Traditional Method of AI Model Training
While AI promises to offer so many benefits and resources, it is dependent on having access to quality data. For AI to make decisions and perform tasks with such accuracy, it needs to have massive amounts of data available to it. More so, AI models take time to learn. It can take several months and tons of data to train AI models to accomplish the desired tasks.
It’s challenging for AI models to stay up-to-date and accurate. It is never going to be more accurate than the data it is trained on, though. In short, it needs that training to be able to achieve any of these benefits.
