摘要
由机器人与机器学习每日新闻的新闻记者兼工作人员新闻编辑-人工智能的新数据在一份新的报告中呈现。根据NewsRx编辑在意大利帕维亚的新闻报道，研究表明，"近年来，生成性预培训的变形金刚(GPT)和大型语言模型(LLMs)在自然语言处理方面取得了重大进展。"这项研究的资助者包括欧盟委员会。我们的新闻记者从Pa大学Via的研究中获得了一句话：“LMS的实际应用是不可否认的，使其对决策问题的影响变得毫无意义。LMS的强大功能使其类似于机器学习模型。在本文中，我们重点讨论了ML模型中常用的二进制分类，这是ML模型的一个主要用途。”我们展示了GPT模型的性能几乎与经典的Logistic机器学习模型一样精确，但大量观测数据却少得多。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on artificial intelligence are presented in a new report. According to news reporting out of Pavia, Italy, by NewsRx editors, research stated, “Generative Pre-trained Transformers (GPT) a nd Large language models (LLMs) have made significant advancements in natural la nguage processing in recent years.” Funders for this research include European Commission. Our news correspondents obtained a quote from the research from University of Pa via: “The practical applications of LLMs are undeniable, rendering moot any deba te about their impending influence. The power of LLMs has made them similar to m achine learning models for decision-making problems. In this paper, we focus on binary classification which is a common use of ML models, particularly in credit lending applications. We show how a GPT model can perform almost as accurately as a classical logistic machine learning model but with a much lower number of s ample observations.”
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