Researchers establish sharp mathematical guarantees for generating high-quality discrete data, paving the way for more reliable and efficient models for text, code, and more.
A groundbreaking paper provides the first sharp convergence guarantees for discrete diffusion models, proving their sampling efficiency for text and code generation.
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Discover how an AI agent on Hugging Face autonomously chains two separate models to create interactive 3D art galleries from simple text prompts. Is this the future of creative AI workflows?
A paper published by researchers at Carnegie Mellon University introduces 'Chroma-Shift', a novel jailbreak technique targeting multi-modal language models. The attack embeds malicious prompts within
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