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SlerpFlow achieves high-precision image inversion and editing while maintaining the efficiency of first-order solvers, transforming how we approach flow-based diffusion models.
A novel data synthesis approach enables MLLMs to achieve robust 3D spatial reasoning, rivaling traditional 3D models without expensive pre-training.
AI training jobs can now shrug off network failures that used to halt progress, thanks to a new resilient networking stack deployed at OpenAI and Microsoft.
RAG models struggle to use retrieved knowledge even when it's relevant, but GuarantRAG's two-stage generation and joint decoding boosts accuracy by 12% and slashes hallucinations by 16%.
