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Machine learning is the process of estimating latent representations or variables from finite data. If the data is insufficient, this inference process leaves a ...

This is an open collection of methodologies, tools and step by step instructions to help with successful training and fine-tuning of large language models and multi-modal models and their inference.

It does a better job of using data and forecasts to make decisions. by Narendra Agrawal, Morris A. Cohen, Rohan Deshpande and Vinayak Deshpande The Covid-19 pandemic, the Russia-Ukraine conflict, ...

Abstract: This paper provides a systematic overview of machine learning methods applied to solve NP-hard Vehicle Routing Problems (VRPs). Recently, there has been great interest from both the machine ...