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Large language models (LLMs) excel at using textual reasoning to understand the context of a document and provide a logical ...
Morgan Stanley’s in-house AI tool has so far this year reviewed nine million lines of old code and saved its developers 280,000 hours, said Mike Pizzi, global head of technology and operations.
Python’s new template strings, or t-strings, give you a much more powerful way to format data than the old-fashioned f-strings.
At its core, problem-solving is about understanding the challenge, designing a solution and ensuring its effective execution.
Mathematical problem solving remains a significant challenge for large language models (LLMs) due to the inherent complexity of mathematical reasoning and the precision required in calculations. This ...
This repository contains implementations of advanced regression methods, including ordinary least squares, Poisson regression, and locally weighted regression. It also explores bias-variance ...
Transportation Problem Program, or TPP, solves transportation problems using linear programming techniques, specifically either the Stepping Stone or the Modified Distribution (MODI) method. By ...
An unbalanced transportation problem (UTP) occurs when the total supply of goods does not equal the total demand. To find an optimal solution for an unbalanced transportation problem using the ...
In this paper, we use a variance-based genetic ensemble (VGE) of Neural Networks (NNs) to detect anomalies in the satellite's historical data. We use an efficient ensemble of the predictions from ...