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所在平台: Udemy |
课程主页: https://www.udemy.com/course/multimodal-rag/
课程评论：没有评论
**课程总结：多模态 RAG：使用 GPT-4 构建 AI 搜索与推荐系统** 本课程将带您深入探索前沿的 AI 搜索与推荐系统，重点讲解如何构建结合文本和图像数据的多模态检索增强生成（RAG）系统。通过动手实践，您将学会利用 GPT-4、CLIP 和 ChromaDB 等先进工具，构建能够处理多模态数据的 AI 系统，从而增强传统搜索方法，并解锁机器学习和嵌入的强大功能。 **您将学到：** * **掌握多模态 RAG：** 理解检索增强生成（RAG）的概念，并学会将其应用于文本和图像数据。 * **构建 AI 驱动的搜索与推荐系统：** 学习如何构建能够处理多模态查询的搜索引擎和推荐系统，利用 GPT-4 和 CLIP 等强大 AI 模型。 * **利用嵌入实现跨模态搜索：** 获得生成和使用嵌入的实践经验，从而支持基于文本或图像输入的搜索和推荐。 * **开发交互式 Streamlit 应用：** 创建用户友好的应用程序，实现基于用户输入的文本或图像数据的实时查询和推荐。 **主要技术栈：** * **GPT-4:** 驱动 AI 推荐的尖端语言模型。 * **CLIP:** 用于生成图像和文本嵌入的先进 AI 模型，实现图文跨模态搜索。 * **ChromaDB:** 高性能向量数据库，支持多模态嵌入的快速高效查询。 * **Streamlit:** 用于构建交互式 Web 应用的简洁而强大的框架。 **课程亮点：** * **无需多模态系统经验：** 课程设计易于理解，提供详细的步骤指导，帮助您从生成嵌入到构建完整的 AI 系统。 * **入门门槛低：** 仅需具备基础 Python 知识和对 AI 的好奇心。 立即报名，通过掌握多模态 RAG 系统，将您的 AI 开发技能提升到新的高度！
Are you ready to dive into the cutting-edge world of AI-powered search and recommender systems? This course will guide you through the process of building Multimodal Retrieval-Augmented Generation (RAG) systems that combine text and image data for advanced information retrieval and recommendations.In this hands-on course, you'll learn how to leverage state-of-the-art tools such as GPT-4, CLIP, and ChromaDB to build AI systems capable of processing multimodal data-enhancing traditional search methods with the power of machine learning and embeddings.What You'll Learn:Master Multimodal RAG: Understand the concept of Retrieval-Augmented Generation (RAG) and how to implement it for both text and image-based data.Build AI-Powered Search & Recommendation Systems: Learn how to construct search engines and recommender systems that can handle multimodal queries, using powerful AI models like GPT-4 and CLIP.Utilize Embeddings for Cross-Modal Search: Gain practical experience generating and using embeddings to enable search and recommendations based on text or image input.Develop Interactive Applications with Streamlit: Create user-friendly applications that allow real-time querying and recommendations based on user-provided text or image data.Key Technologies You'll Work With:GPT-4: A cutting-edge language model that powers the AI-driven recommendations.CLIP: An advanced AI model for generating image and text embeddings, making it possible to search images with text.ChromaDB: A high-performance vector database that enables fast and efficient querying for multimodal embeddings.Streamlit: A simple yet powerful framework for building interactive web applications.No prior experience with multimodal systems? No problem!This course is designed to make advanced AI concepts accessible, with detailed, step-by-step instructions that guide you through each process-from generating embeddings to building complete AI systems. Basic Python knowledge and a curiosity for AI are all you need to get started.Enroll today and take your AI development skills to the next level by mastering the art of multimodal RAG systems!
