As a beginner in machine learning, I've completed a basic text classification project in university. Now, I'm eager to build a system that can answer specific questions from a large collection of PDF documents. What are the essential steps, tools, and techniques to achieve this goal? How should I approach data preparation, model selection, training, evaluation, and deployment for such a project? Any guidance or resources would be highly appreciated. Thanks!



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