In this video, I discuss the challenges of working with PDFs for LLM applications and introduce you to an open-source tool called Marker. Marker simplifies the conversion of complex PDF files into structured Markdown, making data extraction much easier. I compare Marker with NuGet, showing its superior performance in preserving document structure accurately. Additionally, I give a detailed tutorial on installing Marker, using it to convert single or multiple PDF files, and review some example results. If you're interested in efficient data preprocessing for LLMs, this video is for you! 🦾 Discord: ☕ Buy me a Coffee: |🔴 Patreon: 💼Consulting: 📧 Business Contact: engineerprompt@ Become Member: 💻 Pre-configured localGPT VM: (use Code: PromptEngineering for 50% off). Signup for Advanced RAG: LINKS: Github: TIMESTAMPS 00:00 Introduction: The Importance of Good Data for LLM Applications 00:13 Challenges of Working with PDFs 00:43 Approaches to Make PDFs LLM Ready 01:10 Advantages of Using Markdowns 01:31 Introducing Marker: An Open Source Tool 02:19 Marker vs. NuGet: Performance Comparison 03:35 Features and Limitations of Marker 05:45 Installation and Setup of Marker 07:34 Converting PDFs to Markdowns: Step-by-Step Guide 08:21 Examples and Results 13:32 Conclusion and Future Videos All Interesting Videos: Everything LangChain: Everything LLM: Everything Midjourney: AI Image Generation: