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How Generative AI in Marketing Drives Business Results: Winners and Losers from Email Performance Data

In marketing, the words brands use to connect with and convert customers evoke certain emotions. Based on these emotions, they also bring forth certain actions or lack of actions among consumers. But, which words actually spark conversions, clicks, and conversations? Which emotions and sentiments do today’s customers respond best to? Which are no longer effective? How …

Building Multilayer Perceptron Models in PyTorch

Last Updated on January 27, 2023 The PyTorch library is for deep learning. Deep learning, indeed, is just another name for a large scale neural network or multilayer perceptron network. In its simplest form, multilayer perceptrons are a sequence of layers connected in tandem. In this post, you will discover the simple components you can …

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Scalable Annotation Service — Marken

Scalable Annotation Service — Marken by Varun Sekhri, Meenakshi Jindal Introduction At Netflix, we have hundreds of micro services each with its own data models or entities. For example, we have a service that stores a movie entity’s metadata or a service that stores metadata about images. All of these services at a later point want to …

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Best Egg achieved three times faster ML model training with Amazon SageMaker Automatic Model Tuning

This post is co-authored by Tristan Miller from Best Egg. Best Egg is a leading financial confidence platform that provides lending products and resources focused on helping people feel more confident as they manage their everyday finances. Since March 2014, Best Egg has delivered $22 billion in consumer personal loans with strong credit performance, welcomed …

What Are Large Language Models Used For?

AI applications are summarizing articles, writing stories and engaging in long conversations — and large language models are doing the heavy lifting. A large language model, or LLM, is a deep learning algorithm that can recognize, summarize, translate, predict and generate text and other content based on knowledge gained from massive datasets. Large language models …