, which mixes aspects of supervised and unsupervised ways. This method utilizes a small amount of labeled data and a bigger level of unlabeled data, thereby enhancing learning precision whilst minimizing the need for labeled data, which can be time and labor intense to obtain. (ASI). AGI, or general AI, https://aistrategyconsulting26898.actoblog.com/28557192/ai-digital-transformation-an-overview