Microsoft Research's Lens proves detailed captions matter more than raw scale for training efficient image generators
Microsoft Research presents Lens, a text-to-image model with just 3.8 billion parameters that matches much larger rivals on benchmarks, at a fraction of the training cost. The secret sauce: 800 million detailed image captions generated by GPT-4.1 instead of vague web alt-text. Code and weights are openly available under an open-source license.<br /> The article Microsoft Research's Lens proves detailed captions matter more than raw scale for training efficient image generators appeared first on The Decoder. [...]
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Microsoft AI chief says company was “set free” from OpenAI to pursue superintelligence
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Microsoft says ungoverned AI agents could become corporate 'double agents.' Its fix costs $99 a month.
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Google’s new Deep Research and Deep Research Max agents can search the web and your private data
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The best Prime Day camera and drone deals: Get up to 41 percent off gear from DJI, Canon, Sony and others
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