虽然机器学习(更具体地)与“编程计算机”有关,以从经验中学习。” 2从其成立开始,计算通常将预先构造的规则应用于输入或数据,但是机器学习模型通过将其内部参数调整到数据上,从某种意义上说明创建自己的规则来做出预测。Deep learning models are, in turn, a subtype of machine learning models that are structured in multilayered networks of parameters (see also the Glossary [ Appendix E1 , available at http://www.annemergmed.com ]), whereas large language models 3-8 such as Generative Pretrained Transformer (GPT), 9 Google Bard, 10 and Bidirectional Encoder Representations from Transformers (BERT) 4是深度学习模型的亚型,它们具有大量参数,并通过整体处理对口头提示产生对口头提示的响应。11-13