An interesting study on Vision-Language-Action (VLA) models has been released - this is AI that allows a robot to see an object, understand a task, and act (for example, grab an item).
Usually, this requires huge models and expensive GPUs.
But here,
➡️ How they did it differently?
The team developed a model where almost all calculations are reduced to 3 values:
-1, 0, and 1
Yes, literally.
Thanks to this:
- the model was compressed to ~1.4GB
- they removed complex mathematics
- they made it suitable for cheap hardware
👉 the accuracy remained at the level of large models
👉 the speed increased by 4 times
That is, the robot moves just as accurately, but faster and cheaper:
- expensive servers and GPUs are no longer needed
- robots can be run directly on local chips
- the path to mass robotization (at low cost) is opened up
Paper
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🤖 Data & ML | @DataXplore