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所在平台: Udemy |
课程主页: https://www.udemy.com/course/spring-ai-insights/
课程评论：没有评论
课程名称：Spring AI：从AI基础到Spring AI洞察 课程概述：在这个综合性课程“Spring AI：从AI基础到Spring AI洞察”中，开发者将学习如何在Java应用中充分利用生成AI的潜力。我们从人工智能的基本概念入手，确保即使是AI新手也能掌握必要的原则。接下来，将指导您设置开发环境，包括克隆GitHub项目，并管理OpenAI API密钥，以实现无缝集成。 随着课程的深入，您将探索Spring AI的强大功能，学习如何有效利用OpenAI模型构建项目。我们将讲解如何使用Prompts和Messages，创建和自定义Prompt模板，并使用BeanOutputConverter等关键组件。此外，您还将学习如何配置ChatClient和ChatOptions，并实施函数调用以扩展应用的功能。 课程将介绍各种有效构建Prompt的方法，包括零样本和少样本提示、链式思维推理，从而显著提高响应的准确性和相关性。您将获得设计强大聊天应用的实践经验，创建聊天API，利用ChatMemory和ChatMemoryAdvisors，并设置聊天内存参数以提升用户互动。 此外，您将接触到更先进的AI能力，如图像生成和语音合成，以及最新的技术如检索增强生成（RAG）、嵌入、向量数据库和余弦相似性应用，这些都将增强您创建复杂智能应用程序的能力。 课程末，将有机会开发一个AI驱动的卡路里计数应用，利用图像识别、RAG和向量数据库。无需任何AI经验，只需对Java和Spring有基本了解，本课程将引导您掌握成功所需的一切知识。
Unlock the full potential of generative AI in your Java applications with Spring AI. This comprehensive course, "Spring AI: From AI Fundamentals to Spring AI Insights" is designed to guide Java and Spring developers through the process of integrating powerful AI technologies directly into their projects using the Spring Framework.We start with a solid introduction to the fundamentals of artificial intelligence, covering key concepts that lay the foundation for understanding how AI and large language models (LLMs) work. This initial segment ensures that even those new to AI can grasp the essential principles before diving deeper.From there, we guide you through the process of setting up your development environment by cloning a GitHub project, and you'll learn how to register and manage your OpenAI API key to enable seamless integration. As you progress, you'll explore the powerful capabilities of Spring AI, understanding how to build projects that utilize OpenAI models effectively. We will delve into practical applications, showing you how to work with Prompts and Messages, create and customize Prompt Templates, and use essential components like BeanOutputConverter. Additionally, you'll learn to configure ChatClient and ChatOptions, as well as implement Function Calling to expand the functionalities of your applications.You will discover techniques for crafting effective Prompts that guide AI models, including methods like Zero-shot and Few-shot prompting, and Chain-of-Thought reasoning, which significantly improves the accuracy and relevance of responses. This will help you to not only instruct the AI models but also optimize their behavior for different contexts.We also focus on building practical, real-world projects, including a robust chat application. You'll gain hands-on experience in creating chat APIs, utilizing ChatMemory and ChatMemoryAdvisors, and setting Chat Memory Parameters to enhance user interaction. These projects will provide you with the practical skills to build responsive chat systems that can be integrated into various applications. We will introduce you to more advanced AI capabilities, including Image Generation and Speech Synthesis. You'll also learn about cutting-edge techniques such as Retrieval-Augmented Generation (RAG), the use of Embeddings, Vector Databases, and the application of Cosine Similarity, all of which will enhance your ability to create sophisticated, intelligent applications.Towards the end of the course, you will have the opportunity to develop a comprehensive AI-powered Calorie Counter Application using Image Recognition, RAG and Vector DB. No prior experience in AI is required; all you need is a familiarity with Java and Spring, and this course will guide you through everything else you need to succeed.
