Magma

What it does

Magma, the flagship project form Microsoft Research, is the first-ever foundation model for multimodal AI agents, designed to handle complex interactions across both virtual and real environments.

Magma pretraining pipeline. For all training data, texts are tokenized into tokens, while images and videos from different domains are encoded by a shared vision encoder. The resulted discrete and continuous tokens are then fed into a LLM to generate the outputs in verbal, spatial and action types. Set-of-Mark (SoM) for Action Grounding. Set-of-Mark prompting enables effective action grounding in images for both UI screenshot (left), robot manipulation (middle) and human video (right) by having the model predict numeric marks for clickable buttons or robot arms in image space. Trace-of-Mark (ToM) for Action Planning. Trace-of-Mark supervisions for robot manipulation (left) and human action…from microsoft.github.io

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