Reduce training costs paradigm, that is, "the more you learn, the smarter you are". We greatly broaden the applicable scenarios of artificial intelligence models, which remembers previous experience and apply it effectively whilst maintaining a high level in scenarios where data is scarce. In the process of application, the artificial intelligence model will continue to optimize autonomously according to the real results, so that the quality of decision-making will gradually rise to the global optimal level.