Embodied AI startup Adaption Labs has launched WAM, an in-context causal learning framework that enables robots to utilize longer multimodal contextual information for decision-making. The company previously released Invent a Dataset, a tool for generating training data from task descriptions. WAM is seen as a new exploration of scaling in-context learning in robotics.
Adaption Labs, an embodied AI startup, has rolled out WAM, an in-context causal learning framework built to help robots use longer multimodal context when making decisions. Before this, the company created Invent a Dataset, a tool that produces training data from task descriptions. WAM is being described as a new attempt to scale in-context learning in robotics. (Source: Techub News, via Quantum Bit)
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