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We’re excited to introduce a brand-new layout agent within LlamaParse that gives you the best-in-class document parsing and extraction with precise visual citations. It uses SOTA VLM models to 1) detect all the blocks on a page (tables/charts/paragraphs), and 2) dynamically… https://t.co/2WRRXxIRa1
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"text": "We’re excited to introduce a brand-new layout agent within LlamaParse that gives you the best-in-class document parsing and extraction with precise visual citations.\n\nIt uses SOTA VLM models to 1) detect all the blocks on a page (tables/charts/paragraphs), and 2) dynamically figure out how to parse each section in the right format.\n\n✅ Get precise boxes for every element on a page\n✅ Concurrently parse a bunch of blocks on a page at once\n✅ It reduces accidentally dropped tables/charts/page elements by a LOT\n\nFull credits to @CimolaiMarco, @hexapode and @Binary_Brain.\n\nSign up to LlamaCloud today: https://t.co/yQGTiRSNvj\nHere’s a full set of examples to get started: https://t.co/pmi6TYHzqw",
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