Rex-Omni is a 3B-parameter Multimodal Large Language Model (MLLM) that redefines object detection and a wide range of other visual perception tasks as a simple next-token prediction problem.
Abstract: We demonstrate an 8-λ 200 GHz-grid dense wavelength division multiplexing coherent receiver using a chip-scale 90° optical hybrid cascaded with four Macher-Zehnder Interferometer lattice ...
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