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Imperial College London
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Unlock 10x faster simulation-based inference in hierarchical models by training on single-site simulations and assembling synthetic multi-site data.
Mamba-2's efficiency doesn't require custom CUDA kernels: XLA's compiler optimizations are enough to unlock near-optimal performance across diverse hardware.
LLMs can retain more context and history without blowing your token budget using a DAG-based memory system and lossless trimming that cuts context length by up to 86%.
