In-Context Learning

The ability of a large pre-trained model to adapt its behavior to new tasks based on a few examples provided in the input prompt, without updating model weights. In robotics, in-context learning enables VLA models to perform new manipulation tasks when shown a few demonstration frames as context. This parallels how GPT-style models handle few-shot text tasks.