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Recommended experience
Beginner level
Anyone who is interested in learning how to effectively process and use diverse data types and formats to build high-performing LLM RAG systems.
Recommended experience
Beginner level
Anyone who is interested in learning how to effectively process and use diverse data types and formats to build high-performing LLM RAG systems.
Learn to extract and normalize content from a wide variety of document types to expand the information accessible to your LLM.
Enrich your content with metadata, enhancing retrieval augmented generation (RAG) results and supporting more nuanced search capabilities.
Explore document image analysis techniques and learn how to apply these methods to preprocess PDFs, images, and tables.
Only available on desktop
Enhancing a RAG system’s performance depends on efficiently processing diverse unstructured data sources.
In this course, you’ll learn techniques for representing all sorts of unstructured data, like text, images, and tables, from many different sources and implement them to extend your LLM RAG pipeline to include Excel, Word, PowerPoint, PDF, and EPUB files. 1. How to preprocess data for your LLM application development, focusing on how to work with different document types. 2. How to extract and normalize various documents into a common JSON format and enrich it with metadata to improve search results. 3. Techniques for document image analysis, including layout detection and vision transformers, to extract and understand PDFs, images, and tables. 4. How to build a RAG bot that is able to ingest different documents like PDFs, PowerPoints, and Markdown files. Apply the skills you’ll learn in this course to real-world scenarios, enhancing your RAG application and expanding its versatility.
DeepLearning.AI is an education technology company that develops a global community of AI talent. DeepLearning.AI's expert-led educational experiences provide AI practitioners and non-technical professionals with the necessary tools to go all the way from foundational basics to advanced application, empowering them to build an AI-powered future.
Hands-on, project-based learning
Practice new skills by completing job-related tasks with step-by-step instructions.
No downloads or installation required
Access the tools and resources you need in a cloud environment.
Available only on desktop
This project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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