SmolVLA: Efficient Vision-Language-Action Model trained on Lerobot Community Data
Researchers have developed a new AI model called SmolVLA, which can process both visual and language inputs to perform actions. The model is trained on data from the Lerobot Community, a platform for robotics enthusiasts. SmolVLA's efficiency is attributed to its use of a novel architecture that combines vision, language, and action capabilities in a single framework. According to its creators, the model achieves state-of-the-art performance on several benchmarks.
Researchers have developed a new AI model called SmolVLA, which can process both visual and language inputs to perform actions. The model is trained on data from the Lerobot Community, a platform for robotics enthusiasts. SmolVLA's efficiency is attributed to its use of a novel architecture that combines vision, language, and action capabilities in a single framework. According to its creators, the model achieves state-of-the-art performance on several benchmarks.
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Why it matters: This matters because SmolVLA's ability to integrate visual and language inputs could lead to advancements in robotics and other areas where AI needs to understand both visual and linguistic cues.
Source: https://huggingface.co/blog/smolvla
This article was originally published at: https://huggingface.co/blog/smolvla