{"id":8753,"date":"2026-08-10T09:59:32","date_gmt":"2026-08-10T09:59:32","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-multimodal-rag-ai-search-recommender-systems-with-gpt-4-2024-11\/"},"modified":"2026-08-10T09:59:32","modified_gmt":"2026-08-10T09:59:32","slug":"udemy-multimodal-rag-ai-search-recommender-systems-with-gpt-4-2024-11","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-multimodal-rag-ai-search-recommender-systems-with-gpt-4-2024-11\/","title":{"rendered":"Udemy \u2013 Multimodal RAG: AI Search & Recommender Systems with GPT-4 2024-11"},"content":{"rendered":"
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Descriptions<\/h2>\n

Multimodal RAG: AI Search & Recommender Systems with GPT-4, 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\u2019ll 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\u2014enhancing traditional search methods with the power of machine learning and embeddings. This course is designed to make advanced AI concepts accessible, with detailed, step-by-step instructions that guide you through each process\u2014from generating embeddings to building complete AI systems. Basic Python knowledge and a curiosity for AI are all you need to get started. Understand the concept of Retrieval-Augmented Generation (RAG) and how to implement it for both text and image-based data. Learn how to construct search engines and recommender systems that can handle multimodal queries, using powerful AI models like GPT-4 and CLIP.<\/p>\n

What you\u2019ll learn<\/h3>\n