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Amazon hasn’t disclosed parameter counts or details about how the models were built except to say that Nova Pro, Lite, and Micro were trained on a combination of proprietary, licensed, public, and open-source text, images, and video in over 200 languages. For example, Simon Willison, developer of the Django Python framework for web applications, found that Nova Lite generated descriptions for his photo library (tens of thousands of images) for less than $10. What’s new: Johnny Li and colleagues at Lamini introduced Mixture of Memory Experts (MoME), a method that enables large language models (LLMs) to memorize many facts with relatively modest computational requirements.
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