, which mixes areas of supervised and unsupervised techniques. This method makes use of a small quantity of labeled data and a bigger number of unlabeled data, therefore enhancing learning precision when cutting down the need for labeled data, which may be time and labor intensive to acquire.Analyzed versions demonstrate a 70B parameter LLM leverag