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    Home»Machine Learning»BAGEL: How Trillions of Tokens and a “Thinking” AI are Unlocking True Multimodal Understanding and Generation | by ArXiv In-depth Analysis | May, 2025
    Machine Learning

    BAGEL: How Trillions of Tokens and a “Thinking” AI are Unlocking True Multimodal Understanding and Generation | by ArXiv In-depth Analysis | May, 2025

    Team_AIBS NewsBy Team_AIBS NewsMay 23, 2025No Comments1 Min Read
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    Discover BAGEL, ByteDance’s groundbreaking open-source multimodal AI. Skilled on trillions of tokens, it unifies understanding and era, showcasing emergent reasoning and artistic skills.

    We stay in an period awash with AI marvels. ChatGPT crafts eloquent prose, Midjourney paints breathtaking vistas from mere descriptions, and fashions like Google’s Gemini are starting to blur the strains between textual content, picture, and audio understanding. But, a persistent problem stays: creating AI that doesn’t simply course of various kinds of data (modalities) in silos, however really unifies understanding and era throughout them. Think about an AI that may take a look at a posh scene, cause about its elements, predict what may occur subsequent, after which generate a brand new picture or video based mostly on a nuanced, multi-step instruction, maybe even explaining its thought course of.

    This isn’t only a futuristic dream. Proprietary techniques like GPT-4o and Gemini 2.0 have provided tantalizing glimpses of such built-in capabilities, however their inside workings stay largely a black field. The tutorial and open-source communities have been striving to bridge this hole, however usually, fashions excel at both understanding or era, or they “bolt on” capabilities in a lower than…



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