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Our brand-new layout agent uses state-of-the-art LLMs ranging from faster/cheaper to larger/better (Flash 2.0 to Sonnet-3.7) to dynamically parse a page in a layout aware way. The layout agent first parses the overall layout of the document and breaks it into chunks. It then… https://t.co/mh8lXJGUYq
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"full_text": "Our brand-new layout agent uses state-of-the-art LLMs ranging from faster/cheaper to larger/better (Flash 2.0 to Sonnet-3.7) to dynamically parse a page in a layout aware way. \n\nThe layout agent first parses the overall layout of the document and breaks it into chunks. It then… https://t.co/mh8lXJGUYq",
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"text": "Our brand-new layout agent uses state-of-the-art LLMs ranging from faster/cheaper to larger/better (Flash 2.0 to Sonnet-3.7) to dynamically parse a page in a layout aware way. \n\nThe layout agent first parses the overall layout of the document and breaks it into chunks. It then uses different models for different chunks depending on the complexity of the task (e.g. charts == use harder models, text == use smaller models). \n\nThis is huge for any agentic workflow that needs to be grounded with a large corpus of document context. Big shoutout to @CimolaiMarco. \n\nSignup here: https://t.co/XYZmx5TFz8\nExamples to get started: https://t.co/4RFrqz1RlH",
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