Agentic Document Extraction now supports field extraction! Many doc extraction use cases extract specific fields from forms and other structured documents. You can now input a picture or PDF of an invoice, request the vendor name, item list, and prices, and get back the extracted fields. Or input a medical form and specify a schema to extract patient name, patient ID, insurance number, etc. One cool feature: If you don't feel like writing a schema (json specification of what fields to extract) y
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Agentic Document Extraction now supports field extraction! Many do…
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Unlocking Document Data with Agentic Doc Extraction | Andrew Ng posted on the topic | LinkedIn
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LandingAI releases DPT for complex doc extraction | Andrew Ng posted on the topic | LinkedIn
LandingAI releases DPT for complex doc extraction | Andrew Ng poste…
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Announcing: Agentic Document Extraction! PDF files represent information visually - via layout, charts, graphs, etc. - and are more than just text. Unlike traditional OCR and most PDF-to-text approaches, which focus on extracting the text, an agentic approach lets us break a document down into components and reason about them, resulting in more accurate extraction of the underlying meaning for RAG and other applications. Watch the video for details. | Andrew Ng
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Announcing: Agentic Document Extraction! PDF files represent inf…
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Agentic Document Extraction just got much faster! From previous 135sec median processing time down to 8sec. Extracts not just text but diagrams, charts, and form fields from PDFs to give LLM-ready output. Please see the video for details and some application ideas. | Andrew Ng
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Agentic Document Extraction just got much faster! From previous 13…
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Announcing a significant upgrade to Agentic Document Extraction! LandingAI's new DPT (Document Pre-trained Transformer) accurately extracts even from complex docs. For example, from large, complex tables, which is important for many finance and healthcare applications. And a new SDK makes using it require only 3 simple lines of code. Please see the video for technical details. I hope this unlocks a lot of value from the "dark data" currently stuck in PDF files, and that you'll build something co
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Announcing a significant upgrade to Agentic Document Extraction! Lan…
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Introducing Agentic Object Detection! Given a text prompt like “unripe strawberries” or “Kellogg’s branded cereal” and an image, we use an agentic workflow to reason at length and detect the specified objects. No need to label any training data. Please watch the video for details. Or play with the demo here: https://va.landing.ai/demo/agentic-od | Andrew Ng
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