polars-bloomberg is a Python library that extracts Bloomberg's financial data directly into Polars DataFrames. If you’re a quant financial analyst, data scientist, or quant developer working in ...
Abstract: We present LGMCTS, a framework that uniquely combines language guidance with geometrically informed sampling distributions to effectively rearrange objects according to geometric patterns ...
Evaluation allows us to assess how a given model is performing against a set of specific tasks. This is done by running a set of standardized benchmark tests against the model. Running evaluation ...
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