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Forget quadratic complexity: ULTRA-HSTU achieves 21x faster inference and 4-8% better engagement in large-scale recommendation by co-designing input sequences, sparse attention, and model topology.
LLMs can now autonomously design and build better-performing agents using OpenSage, an agent development kit that lets them self-generate agent topology, toolsets, and memory structures.
