Image Credit: dataconomy When training a machine learning model, one of the most common question is, How many epochs should I run? The answer isn’t always straightforward. An epoch refers to one complete pass of the training dataset through the model. Running multiple epochs can bring big benefits, but also big risks if not handled […]
As AI becomes smarter, it is easy to assume machines can work entirely on their own. But in reality, even the best models need a human touch. That’s where Human in the Loop (HITL) comes in. It is a process where humans actively guide, review and fine tune the AI, especially in situations where data […]