What is soon a stop?
premature stop is a technique used in artificial intelligence (AI) or other computer learning programs in which teaching temporarily stops in an effort to improve the score. This can be done either through a series of modules or by interrupting a longer lesson several times. One problem that may arise from not using timely stopping is that AI remembers information, but does not learn. Another possible problem is that AI is constantly learning, but losing information from other areas. This is a common feature in most AI systems that occur automatically, but the technician may need to program it manually.
While most AI systems can learn from external stimulation or through human interaction, the common way of teaching these systems before deployment or complementing learning is through educational applications. These applications often teach new algorithms or new problem solving. Early stop can be used in two ways: the application can be divided into and stops after each module or mIt can be long lessons interrupted by a stop.
If premature stops are not used, AI may suffer a low score of tests, showing that it is not taught from an educational application. One way to manifest itself is to remember. After a certain period - this varies for every AI system and teaching - AI system will remember this information, but does not understand them. This means that the memorized information can be rapidly dropped, so this function stops the learning process and forces AI to show what it has learned.
The second problem that can occur without premature stop is more serious. Unlike remembering, this problem causes the whole AI to suffer and can be difficult to fix. In this scenario, the AI system will continue to learn from training, but this further learning comes at the expense of other memory areas. It starts to store the full -stored information to create room for new training. Soon stop it will prevent it fromTo happen that AI allows you to modify its memory to better store new information.
This feature is often automatically used for most AI systems and educational programs. If not, the technician will have to run manually at a certain point. When AI shows a reduced test score, it should be stopped immediately, as problems will occur after this point. Although there are no serious stopping problems before this, it can prevent the learning of the process.