AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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TANGO is presented, a watermark for masked-diffusion language models that keys each new token to a nearby token that is already unmasked, and TANGO biases the new token toward a color determined by the key and the nearby token's color.
This approach provides a unified framework to handle MLP within both classical and quantum LLMs and shows that the Pythagorean inequality continues to hold in the infinite-dimensional setting whenever the convex information-projection problem attains a finite minimum.
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