PFN Studio is a web-based platform for designing, training, and sharing prior-fitted foundation models tailored to specific data domains. It streamlines the process for ML engineers, data scientists, and domain experts to create and deploy models using custom priors, supporting tasks like forecasting, classification, and causal discovery.
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