NYU Researchers Introduce Cambrian-1: Advancing Multimodal AI with Vision-Centric Large Language Models for Enhanced Real-World Performance and Integration

Multimodal large language models (MLLMs) have become prominent in artificial intelligence (AI) research. They integrate sensory inputs like vision and language to create more comprehensive systems. These models are crucial in applications such as autonomous vehicles, healthcare, and interactive AI assistants, where understanding and processing information from diverse sources is essential. However, a significant challenge […]

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