The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
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• 2402.17764 • Published
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Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models
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Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
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Panda-70M: Captioning 70M Videos with Multiple Cross-Modality Teachers
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Major TOM: Expandable Datasets for Earth Observation
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RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches
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EasyQuant: An Efficient Data-free Quantization Algorithm for LLMs
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MUSCLE: A Model Update Strategy for Compatible LLM Evolution
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Depth Pro: Sharp Monocular Metric Depth in Less Than a Second
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Aguvis: Unified Pure Vision Agents for Autonomous GUI Interaction
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