To accelerate and refine decision-making in a fast-paced, global marketplace, enterprises may deploy generative artificial intelligence models to help summarize and interpret the charts that often ...
MIT and IBM researchers have opened a new front in multimodal artificial intelligence by releasing ChartNet, a large synthetic dataset designed to teach smaller vision-language models how to read, ...
MIT and IBM released ChartNet, a 1.7-million-sample synthetic training dataset that lets compact open-source vision-language ...
“We developed ChartNet to be a one-stop shop for chart understanding, covering basically anything that an AI model and a practitioner who is training that model might need,” says Jovana Kondic, an MIT ...
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