Building Smarter Systems - Multimodal RAG with GPT-4 for Search & Recommendations
Leverage GPT-4 and Multimodal RAG to Build Cutting-Edge Search and Recommendation Systems
Created by Paulo Dichone
Discover how to create advanced search and recommendation systems by combining GPT-4 with multimodal Retrieval-Augmented Generation. You will learn to integrate text and image data, build scalable AI workflows, and deliver smarter, context-aware solutions for real-world applications.
Packt | Dec 2024 | 95 min
What You Will Learn
You will start by exploring the core concepts behind multimodal RAG and gradually move into hands-on projects. Each step guides you through building, testing, and optimizing systems using practical tools and real datasets. By applying what you learn in guided exercises, you will develop both a strong foundation and real implementation skills.
Key Features
- Integrate text and image embeddings to boost search and recommendation accuracy
- Set up and manage vector databases for efficient, scalable AI workflows
- Design interactive user interfaces for deploying intelligent applications
Target Audience
Designed for machine learning engineers, AI developers, and technical professionals with Python and ML experience. If you want to build smarter, more scalable AI systems using text and image data, and are familiar with tools like Hugging Face and vector databases, you will find this course a great fit for advancing your skills.
