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What is Marketing Personalization? 

Marketing personalization is a dynamic, data-driven approach to digital marketing. Brands implement marketing personalization using multiple data points based on customer behavior, buying history, preferences, and interests. Brands use this information to personalize emails, product recommendations, website experiences, and more to provide customers with personalized messaging and customer experiences that cater to their changing needs …

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Scaling vision transformers to 22 billion parameters

Posted by Piotr Padlewski and Josip Djolonga, Software Engineers, Google Research Large Language Models (LLMs) like PaLM or GPT-3 showed that scaling transformers to hundreds of billions of parameters improves performance and unlocks emergent abilities. The biggest dense models for image understanding, however, have reached only 4 billion parameters, despite research indicating that promising multimodal …

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Reduce call hold time and improve customer experience with self-service virtual agents using Amazon Connect and Amazon Lex

This post was co-written with Tony Momenpour and Drew Clark from KYTC. Government departments and businesses operate contact centers to connect with their communities, enabling citizens and customers to call to make appointments, request services, and sometimes just ask a question. When there are more calls than agents can answer, callers get placed on hold …

Can AI predict how you’ll vote in the next election?

Artificial intelligence technologies like ChatGPT are seemingly doing everything these days: writing code, composing music, and even creating images so realistic you’ll think they were taken by professional photographers. Add thinking and responding like a human to the conga line of capabilities. A recent study proves that artificial intelligence can respond to complex survey questions …

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Data-centric ML benchmarking: Announcing DataPerf’s 2023 challenges

Posted by Peter Mattson, Senior Staff Engineer, ML Performance, and Praveen Paritosh, Senior Research Scientist, Google Research, Brain Team Machine learning (ML) offers tremendous potential, from diagnosing cancer to engineering safe self-driving cars to amplifying human productivity. To realize this potential, however, organizations need ML solutions to be reliable with ML solution development that is …