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Understanding Maximum Likelihood Estimation in Supervised Learning

This article demystifies the ML learning modeling process under the prism of statistics. We will understand how our assumptions on…

Vision Language models: towards multi-modal deep learning

wpadmin

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Vision Language models: towards multi-modal deep learning

Multimodal learning refers to the process of learning representations from different types of modalities using the same model. Different modalities…

SSP Performance Optimization: Management Strategies for Publishers

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SSP Performance Optimization: Management Strategies for Publishers

Publishers operating in today’s programmatic advertising environment face intense competition for advertiser attention and budget allocation. Success depends on implementing…

How distributed training works in Pytorch: distributed data-parallel and mixed-precision training

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How distributed training works in Pytorch: distributed data-parallel and mixed-precision training

In this tutorial, we will learn how to use nn.parallel.DistributedDataParallel for training our models in multiple GPUs. We will take…

How to Build a Data-Led People Strategy That Actually Works

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How to Build a Data-Led People Strategy That Actually Works

Leading companies are moving away from gut instinct and outdated methods when making talent decisions. Instead, they are embracing people…

Run Ollama Models Locally and make them Accessible via Public API

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107

Run Ollama Models Locally and make them Accessible via Public API

Introduction Running Large Language Models (LLMs) and other open-source models locally offers significant advantages for developers. This is where Ollama…