分类： 计算机科学 >> 计算机科学技术其他学科 提交时间： 2023-08-15
摘要： At present, the mainstream artificial intelligence generally adopts the technical path of attentionmechanism + deep learning + reinforcement learning. It has made great progress in the field ofAIGC (Artificial Intelligence Generated Content), setting off the technical wave of big models[2][13].But in areas that need to interact with the actual environment, such as elderly care, home nanny,agricultural production, and vehicle driving, trial and error are expensive and a reinforcement learningprocess that requires much trial and error is difficult to achieve. Therefore, in order to achieveArtificial General Intelligence(AGI) that can be applied to any field, we need to use both existingtechnologies and solve the defects of existing technologies, so as to further develop the technologicalwave of artificial intelligence. In this paper, we analyze the limitations of the technical route of largemodels, and by addressing these limitations, we propose solutions, thus solving the inherent defectsof large models. In this paper, we will reveal how to achieve true AGI step by step.
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