生成式AI助力科研计划
Preprocessing Unstructured Data for LLM Applications
Deepelearning.AI
Improve your RAG system to retrieve diverse data types
Learn to extract and normalize content from a wide variety of document types, such as PDFs, PowerPoints, Word, and HTML files, tables, and images 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 like layout detection and vision and table transformers, and learn how to apply these methods to preprocess PDFs, images, and tables.
Improve your RAG system to retrieve diverse data types
Learn to extract and normalize content from a wide variety of document types, such as PDFs, PowerPoints, Word, and HTML files, tables, and images 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 like layout detection and vision and table transformers, and learn how to apply these methods to preprocess PDFs, images, and tables.