摘要
本专利申请没有受让人。新闻编辑从发明人提供的背景信息中获得了以下引文：计算机设备可以提供各种服务。计算机设备也可以被训练为自动在没有人类干预的情况下提供这种服务。作为本专利申请背景资料的补充，NewsRx通讯员还获得了本专利申请的发明人概要信息：“技术改进”使人类能够创建自我学习的计算模型（例如，人工智能和机器基于学习的计算模型，如生成型人工智能(GAI)、生成型人工智能能够处理数据并不断改进而无需任何必要的网络(GAN)等)一个人类。特别是，这些自学习计算模型被设计成产生输出(例如，使用一组规则（例如，处理算法）进行推理、图像、专业知识、财务建议等将输入数据转换为输出数据。这套规则可以不断地训练和更新以完善生成的输出。因此，这些SEL F学习计算模型可以使用接收的数据进行调整和增长反馈（例如，管理员对输出进行反馈，将输出与历史数据进行比较等） .
Abstract
No assignee for this patent application has been made.News editors obtained the following quote from the background information suppli ed by the inventors:“Computing devices may provide various services. Computing devices may also be trained to automaticallyprovide such services without human intervention.”As a supplement to the background information on this patent application, NewsRx correspondentsalso obtained the inventor’s summary information for this patent application: “Improvements in technologyhave enabled humans to create self-lea rning computing models (e.g., artificial intelligence and machinelearning based computing models such as generative artificial intelligence (GAI), generative a dversarialnetworks (GAN), or the like) that are able to process data and contin uously improve without the needof a human. In particular, these self-learning c omputing models are designed to generate outputs (e.g.,inferences, images, pros e, financial advice, or the like) using a set of rules (e.g., an algorithm that processesthe input data into the output data). This set of rules may be continu ously trained and updated to refinethe generated output. As a result, these sel f-learning computing models may adapt and grow using receivedfeedback (e.g., fe edback on the output by an admin, comparing the output to historical data, etc.) .
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