Columbia shows off bendy battery inspired by the human spine
were more likely to be poking through a curio shop downtown than we are the gift shop at Disney World
LWM is trained on sequences of data of increasing length.where the model must identify a frame of video matching a text description.
can process not just text but also video and imagery.LWM can also generate images and videos when supplied with text descriptions in the prompt (see both examples.It can solve a needle-in-a-haystack type of problem.
which is the amount of data samples the model works on at each pass.a not particularly large 7-billion-parameter neural net.
The researchers also used Video Instruct-100K.
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