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所在平台: Udemy |
课程主页: https://www.udemy.com/course/build-conversational-ai-using-gpt-4/
课程评论：没有评论
课程名称：使用GPT-4构建对话AI 课程概述：对话AI在当今非常流行，其应用遍及日常生活的各个角落。无论是在家中使用Alexa或Google Home，还是通过航空公司聊天机器人进行旅行安排，对话AI无处不在。在疫情期间，线上客户互动的重视程度迅速上升，越来越多的组织从静态网页转向消息界面。本课程旨在帮助学员掌握超越简单消息传递的对话AI解决方案的定义与应用。 本课程介绍了对话AI的发展历程，从1960年代的Eliza原型到如今的ChatGPT，展示了对话AI的演变及其商业应用。课程由应用AI研究所提供，旨在为学员提供全面的咨询互动技巧，以提升最终用户体验，并利用强大的对话与生成AI技术。 课程内容分为多个章节： - 第一章：介绍课程概述、目标、预备知识、课程大纲以及初步接触ChatGPT的体验。 - 第二章：对话AI的定义，介绍优秀对话AI解决方案的关键要素。 - 第三章：开发环境设置，提供逐步指南，教你如何设置OpenAI账号，包括所需的API和密钥，并创建一个使用ChatGPT和DALL·E的自定义食谱示例应用程序。 - 第四章：生成AI解决方案，讲解构建预测和生成型对话AI解决方案的关键概念、工具和策略。 - 第五章：原型对话生成AI解决方案，提供如何使用ChatGPT和私有数据集设计与构建电影推荐解决方案的具体步骤。 - 第六章：介绍高级主题，如消歧义、嵌入技术、聊天系统化学等，并列出可使用生成AI技术（如ChatGPT）实施的对话AI用例。 - 第七章：总结课程内容，提供后续步骤和未来学习建议。 为了顺利完成课程并获得证书，学员需要完成每个章节后的互动测验，下载示例训练数据和代码，并在所有课堂作业中完善自己的训练数据。 通过量身定制的课程内容，我们相信参与者将获得在对话AI和ChatGPT领域中脱颖而出的见解与技能。
Conversational AI is very popular today. We see numerous examples all throughout the day.At home, you may have a home assistant, such as Alexa, or Google Home, or apps such as Google Assistant for setting up appointment.If you are traveling for work, you may be talking to airline reservation chatbot for travel arrangement or hotel concierge services for hotel reservation.Conversational AI is every where - home, work - you name it,If you have an iPhone or iPad, you probably have Siri ready to work at your voice command.During Covid-19 era, the emphasis on online customer engagement is rapidly increasing and more and more organizations are moving from static web pages to messaging interfaces. How do you start defining a Conversational AI solution that goes beyond simple messaging?In 2023, we are seeing an unprecedented improvement in conversation quality with ChatGPT. Are you ready to use ChatGPT for your conversational AI solution?Conversational AI has evolved significantly. Let me tell you all about it. It all started with Eliza in the 1960s, the very first conversation prototype. Fast forward a few years, and we saw structured conversations using bots and expert systems. Then came the big leap forward with natural language classification, Named Entity Recognition, and the rise of intelligent QA systems. The Replika experiment delved into the fascinating world of psychology, helping AI develop chemistry and engagement with users. Soon after, Conversational AI made its way into the commercial world, with big names like IBM Watson Assistant and Google Dialog Flow making waves. And finally, here we are today, with ChatGPT- a state-of-the-art language model that can engage in natural conversations on a wide range of topics.On behalf of the Applied AI Institute, we are thrilled to welcome you to the "Build Conversational AI using GPT-4" course, a part of our Conversational and Generative AI series. This course is tailored to provide a comprehensive understanding of consultative engagement techniques to enhance end-user experiences by leveraging Conversational and Generative AI technologies, including the powerful ChatGPT.The course is divided into multiple chaptersChapter 1 - Introduction will provide overview of course including course objectives, intended outcomes, pre-requisite, course outline with an initial exposure to ChatGPT experienceChapter 2 - What is conversation AI introduces you to key elements of a good conversational AI solution with an exampleChapter 3 - Set up development environment provides step-by-step instructions on how to set up Open Ai account, including secret key and set of APIs needed for building your first conversational ai solution using ChatGPT. It also created a sample test application for creating a custom recipe using ChatGPT and Dalle.Chapter 4 - Generative AI Solution provides key concepts, tools and solutions used in building predictive and generative based conversational AI solutions.Chapter 5 - Prototype Conversation Generative AI Solution provides step by step instructions on how to design and build a movie recommendation solution using ChatGPT and your proprietary data sets and recommendation engineChapter 6 introduces Advanced topics such as Disambiguation, Embedding, Chatbot System Chemistry. It also lists Conversational AI use cases which can be implemented using Generative AI technologies like ChatGPT.Finally in Chapter 7 we summarize course contents and provide next steps as well as future learning in this area.To successfully complete and receive certification for the course:1. Complete all interactive quizzes after each section2. Download sample training data and code, Complete all class assignment refine your training data as you go.With tailored course content, we're confident that participants will gain insights and skills to excel in Conversational AI and ChatGPT
