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所在平台: Udemy |
课程主页: https://www.udemy.com/course/intro-to-generative-ai-robotics-process-automationrpa/
课程评论：没有评论
课程名称：生成式人工智能与机器人流程自动化(RPA)入门 课程概述： 本课程分为以下几个部分： 1. 生成式人工智能简介 2. 生成式人工智能的应用案例（在医疗、制造、信息技术、银行等领域的应用） 3. 基础模型及其参数的介绍，包括Top P、Top K和温度 4. RPA工具入门 5. 流行的RPA工具及其优势 6. RPA的一些应用案例 7. 如何制作机器人简介 课程内容包含生成式人工智能，它是一种基于训练数据中的模式和示例生成新内容（如图像、文本或音乐）的人工智能类型。涉及到的生成式人工智能应用案例包括： - 医疗：生成合成数据用于医学研究和AI模型的诊断训练 - 制造：设计优化、产品的生成式设计和预测性维护 - 信息技术：自动生成内容、网络异常检测和网络安全 - 银行：欺诈检测、通过聊天机器人自动化客户服务和个性化财务建议 基础模型及参数介绍： 基础模型是经过大量数据训练的大规模AI模型，可用于执行广泛的任务。参数如Top P、Top K和温度用于控制这些模型的输出： - Top P：限制采样至最可能的标记，直到累计概率超过指定阈值。 - Top K：限制采样至K个最可能的标记。 - 温度：控制生成文本的随机性，较高的温度会产生更具多样性的输出。 RPA工具简介： 机器人流程自动化（RPA）工具通过模拟人类在数字系统中的操作来自动化重复任务。这些工具以更快的速度并且没有错误地与软件应用程序进行交互。 流行的RPA工具及其优势： 流行的RPA工具包括UiPath、Automation Anywhere和Blue Prism。使用RPA工具的好处包括： - 通过自动化常规任务提高效率和生产力 - 通过减少人为错误提高准确性和合规性 - 通过释放人力资源进行更复杂的任务实现成本节约 RPA的一些应用案例： RPA在多个行业中的应用包括： - 财务：自动化数据录入、发票处理和对账 - 医疗：简化患者调度、索赔处理和医疗记录管理 - 零售：自动化订单处理、库存管理和客户支持 如何制作机器人简介： 制作机器人的过程包括定义任务、识别合适的RPA工具、设计工作流程、配置机器人的操作以及测试其功能和可靠性。机器人可以用于从简单数据录入到复杂决策过程的各种任务自动化。
This Course consists of 1. Introduction to Generative AI 2. Some Use cases of Generative AI (Application in Healthcare, Manufacturing , IT, Banking etc)3. Introduction to Foundation Models and Foundation Model Parameters like Top P , Top K and Temperature.4. Introduction to RPA Tools5. Popular RPA Tools and Benefits6. Some Use cases of RPA7. Introduction to How to Make BotsTh course contains Generative AI which refers to a type of artificial intelligence that generates new content, such as images, text, or even music, based on patterns and examples in the data it has been trained on. It also covers Some Use Cases of Generative AIHealthcare: Generating synthetic data for medical research and training AI models for diagnostics.Manufacturing: Design optimization, generative design for products, and predictive maintenance.IT: Automating content generation, anomaly detection in networks, and cybersecurity.Banking: Fraud detection, customer service automation through chatbots, and personalized financial advice.Introduction to Foundation Models and Parameters: Foundation models are large-scale AI models trained on vast amounts of data to perform a wide range of tasks. Parameters like Top P, Top K, and Temperature are used to control the output of these models:Top P: Limits the sampling to the most likely tokens until the cumulative probability surpasses a specified threshold.Top K: Limits the sampling to the top K most likely tokens.Temperature: Controls the randomness of the generated text, with higher temperatures producing more diverse outputs.Introduction to RPA Tools: Robotic Process Automation (RPA) tools automate repetitive tasks by mimicking human actions across digital systems. These tools interact with software applications in the same way a human user would, but at a much faster rate and without errors.Popular RPA Tools and Benefits: Popular RPA tools include UiPath, Automation Anywhere, and Blue Prism. Benefits of using RPA tools include:Increased efficiency and productivity by automating routine tasks.Improved accuracy and compliance by reducing human errors.Cost savings by freeing up human resources for more complex tasks.Some Use Cases of RPA: RPA is used in various industries:Finance: Automating data entry, invoice processing, and reconciliation.Healthcare: Streamlining patient scheduling, claims processing, and medical record management.Retail: Automating order processing, inventory management, and customer support.Introduction to How to Make Bots: Making bots involves defining tasks, identifying suitable RPA tools, designing workflows, configuring the bot's actions, and testing it to ensure functionality and reliability. Bots can be created to automate tasks ranging from simple data entry to complex decision-making processes.
