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所在平台: Udemy |
课程主页: https://www.udemy.com/course/hallucination-management-for-generative-ai/
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课程名称：生成性人工智能中的幻觉管理 概述：欢迎参加生成性人工智能中的幻觉管理课程！生成性人工智能和大型语言模型已经在全球引起了巨大关注。许多人正在使用这些技术，而其他人则尝试用它们构建产品。无论你是开发者、提示工程师还是重度用户，都会在某个时刻遇到生成性人工智能产生的幻觉。幻觉不可避免，但管理、限制和最小化它们的责任在于我们。在本课程中，我们将提供顶尖的方法来管理幻觉，并利用生成性人工智能创造出美丽的内容。 本课程由Atil Samancioglu主讲，他在全球培养超过40万名学生，教授编程和网络安全，也在博阿齐奇大学教授移动应用开发，并且是自己的培训初创公司Academy Club的创始人。课程中将涵盖的主题包括：幻觉的根本原因、幻觉检测、对大型语言模型的脆弱性评估、源基础、雪球理论、后退提示、验证链、与各种模型的实践实验、RAG实施和微调等。 完成课程后，您将能够理解幻觉的根本原因，识别它们并通过各种技术加以减少。如果你准备好了，赶快开始吧！
Welcome to the Hallucination Management for Generative AI courseGenerative Artificial Intelligence and Large Language Models have taken over the world with a great hype! Many people are using these technologies where as others are trying to build products with them. Whether you are a developer, prompt engineer or a heavy user of generative ai, you will see hallucinations created by generative ai at one point.Hallucinations will be there but it is up to us to manage them, limit them and minimize them. In this course we will provide best in class ways to manage hallucinations and create beautiful content with gen ai.This course is brought to you by Atil Samancioglu, teaching more than 400.000 students worldwide on programming and cyber security! Atil also teaches mobile application development in Bogazici University and he is founder of his own training startup Academy Club. Some of the topics that will be covered during the course:Hallucination Root CausesDetecting hallucinationsVulnerability assessment for LLMsSource groundingSnowball theoryTake a step back promptingChain of verificationHands on experiments with various modelsRAG ImplementationFine tuningAfter you complete the course you will be able to understand the root causes of hallucinations, detect them and minimize them via various techniques.If you are ready, let's get started!
