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Achieve more reliable and visually informative multimodal reports by enforcing factual grounding, citation fidelity, and cross-modal consistency throughout the workflow with a multi-agent system.
Forget retraining for every compression ratio: this auto-regressive feature compressor lets you dial in any ratio you want on the fly.
VLA models can be compressed to 29% of their original VRAM with minimal performance loss by intelligently quantizing different channels based on their impact on action execution.
