What kinds of models are people training with document data? [P]

<!-- SC_OFF --><div class="md"><p>Public datasets on HF or Kaggle can sometimes be too generic, wrong domain, wrong schema, outdated, or just not enough volume to generalize

<!-- SC_OFF --><div class="md"><p>I'm building a crowdsourced photo collection platform </p> <p>(contributors take photos with smartphones, we auto-label </p> <p>with YOLO/CLIP +

<table> <tr><td> <a href="https://www.reddit.com/r/MachineLearning/comments/1t0txco/why_is_table_extraction_with_vlm_models_still/"> <img alt="Why Is Table Extraction with VLM

<!-- SC_OFF --><div class="md"><p>Hey everyone,</p> <p>I’ve built a fairly flexible RAG pipeline that was initially designed to handle any type of document (PDFs, reports, mixed